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| <div class="section" id="module-airflow.providers.google.cloud.hooks.vertex_ai.custom_job"> |
| <span id="airflow-providers-google-cloud-hooks-vertex-ai-custom-job"></span><h1><a class="reference internal" href="#module-airflow.providers.google.cloud.hooks.vertex_ai.custom_job" title="airflow.providers.google.cloud.hooks.vertex_ai.custom_job"><code class="xref py py-mod docutils literal notranslate"><span class="pre">airflow.providers.google.cloud.hooks.vertex_ai.custom_job</span></code></a><a class="headerlink" href="#module-airflow.providers.google.cloud.hooks.vertex_ai.custom_job" title="Permalink to this heading">¶</a></h1> |
| <p>This module contains a Google Cloud Vertex AI hook.</p> |
| <div class="section" id="module-contents"> |
| <h2>Module Contents<a class="headerlink" href="#module-contents" title="Permalink to this heading">¶</a></h2> |
| <div class="section" id="classes"> |
| <h3>Classes<a class="headerlink" href="#classes" title="Permalink to this heading">¶</a></h3> |
| <table class="autosummary longtable docutils align-default"> |
| <colgroup> |
| <col style="width: 10%" /> |
| <col style="width: 90%" /> |
| </colgroup> |
| <tbody> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook" title="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CustomJobHook</span></code></a></p></td> |
| <td><p>Hook for Google Cloud Vertex AI Custom Job APIs.</p></td> |
| </tr> |
| </tbody> |
| </table> |
| <dl class="py class"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook"> |
| <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">airflow.providers.google.cloud.hooks.vertex_ai.custom_job.</span></span><span class="sig-name descname"><span class="pre">CustomJobHook</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gcp_conn_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'google_cloud_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delegate_to</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">impersonation_chain</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Bases: <a class="reference internal" href="../../../../common/hooks/base_google/index.html#airflow.providers.google.common.hooks.base_google.GoogleBaseHook" title="airflow.providers.google.common.hooks.base_google.GoogleBaseHook"><code class="xref py py-obj docutils literal notranslate"><span class="pre">airflow.providers.google.common.hooks.base_google.GoogleBaseHook</span></code></a></p> |
| <p>Hook for Google Cloud Vertex AI Custom Job APIs.</p> |
| <dl class="field-list simple"> |
| </dl> |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_pipeline_service_client"> |
| <span class="sig-name descname"><span class="pre">get_pipeline_service_client</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.get_pipeline_service_client"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_pipeline_service_client" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns PipelineServiceClient.</p> |
| <dl class="field-list simple"> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_job_service_client"> |
| <span class="sig-name descname"><span class="pre">get_job_service_client</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.get_job_service_client"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_job_service_client" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns JobServiceClient</p> |
| <dl class="field-list simple"> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_container_training_job"> |
| <span class="sig-name descname"><span class="pre">get_custom_container_training_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">display_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_uri</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">command</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_image_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_predict_route</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_health_route</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_command</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_args</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_environment_variables</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_ports</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_description</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_instance_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_parameters_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_prediction_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">project</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">location</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_encryption_spec_key_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_encryption_spec_key_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">staging_bucket</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.get_custom_container_training_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_container_training_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns CustomContainerTrainingJob object</p> |
| <dl class="field-list simple"> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_python_package_training_job"> |
| <span class="sig-name descname"><span class="pre">get_custom_python_package_training_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">display_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">python_package_gcs_uri</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">python_module_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_uri</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_image_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_predict_route</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_health_route</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_command</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_args</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_environment_variables</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_ports</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_description</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_instance_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_parameters_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_prediction_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">project</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">location</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_encryption_spec_key_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_encryption_spec_key_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">staging_bucket</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.get_custom_python_package_training_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_python_package_training_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns CustomPythonPackageTrainingJob object</p> |
| <dl class="field-list simple"> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_training_job"> |
| <span class="sig-name descname"><span class="pre">get_custom_training_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">display_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">script_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_uri</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">requirements</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_image_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_predict_route</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_health_route</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_command</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_args</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_environment_variables</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_ports</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_description</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_instance_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_parameters_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_prediction_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">project</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">location</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_encryption_spec_key_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_encryption_spec_key_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">staging_bucket</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.get_custom_training_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_training_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns CustomTrainingJob object</p> |
| <dl class="field-list simple"> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.extract_model_id"> |
| <em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">extract_model_id</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">obj</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.extract_model_id"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.extract_model_id" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns unique id of the Model.</p> |
| <dl class="field-list simple"> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.extract_training_id"> |
| <em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">extract_training_id</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">resource_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.extract_training_id"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.extract_training_id" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns unique id of the Training pipeline.</p> |
| <dl class="field-list simple"> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.wait_for_operation"> |
| <span class="sig-name descname"><span class="pre">wait_for_operation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">operation</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.wait_for_operation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.wait_for_operation" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Waits for long-lasting operation to complete.</p> |
| <dl class="field-list simple"> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_job"> |
| <span class="sig-name descname"><span class="pre">cancel_job</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.cancel_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Cancel Job for training pipeline</p> |
| <dl class="field-list simple"> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_pipeline_job"> |
| <span class="sig-name descname"><span class="pre">cancel_pipeline_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_job</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.cancel_pipeline_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_pipeline_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Cancels a PipelineJob. Starts asynchronous cancellation on the PipelineJob. The server makes a best |
| effort to cancel the pipeline, but success is not guaranteed. Clients can use |
| [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob] or other |
| methods to check whether the cancellation succeeded or whether the pipeline completed despite |
| cancellation. On successful cancellation, the PipelineJob is not deleted; instead it becomes a |
| pipeline with a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value with a |
| [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to <code class="docutils literal notranslate"><span class="pre">Code.CANCELLED</span></code>, and |
| [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to <code class="docutils literal notranslate"><span class="pre">CANCELLED</span></code>.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li> |
| <li><p><strong>pipeline_job</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – The name of the PipelineJob to cancel.</p></li> |
| <li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_training_pipeline"> |
| <span class="sig-name descname"><span class="pre">cancel_training_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_pipeline</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.cancel_training_pipeline"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_training_pipeline" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Cancels a TrainingPipeline. Starts asynchronous cancellation on the TrainingPipeline. The server makes |
| a best effort to cancel the pipeline, but success is not guaranteed. Clients can use |
| [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] |
| or other methods to check whether the cancellation succeeded or whether the pipeline completed despite |
| cancellation. On successful cancellation, the TrainingPipeline is not deleted; instead it becomes a |
| pipeline with a [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with |
| a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to <code class="docutils literal notranslate"><span class="pre">Code.CANCELLED</span></code>, and |
| [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to <code class="docutils literal notranslate"><span class="pre">CANCELLED</span></code>.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li> |
| <li><p><strong>training_pipeline</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The name of the TrainingPipeline to cancel.</p></li> |
| <li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_custom_job"> |
| <span class="sig-name descname"><span class="pre">cancel_custom_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">custom_job</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.cancel_custom_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_custom_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Cancels a CustomJob. Starts asynchronous cancellation on the CustomJob. The server makes a best effort |
| to cancel the job, but success is not guaranteed. Clients can use |
| [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or other methods to |
| check whether the cancellation succeeded or whether the job completed despite cancellation. On |
| successful cancellation, the CustomJob is not deleted; instead it becomes a job with a |
| [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a |
| [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to <code class="docutils literal notranslate"><span class="pre">Code.CANCELLED</span></code>, and |
| [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to <code class="docutils literal notranslate"><span class="pre">CANCELLED</span></code>.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li> |
| <li><p><strong>custom_job</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The name of the CustomJob to cancel.</p></li> |
| <li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_pipeline_job"> |
| <span class="sig-name descname"><span class="pre">create_pipeline_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_job</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_job_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.create_pipeline_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_pipeline_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Creates a PipelineJob. A PipelineJob will run immediately when created.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li> |
| <li><p><strong>pipeline_job</strong> (<em>google.cloud.aiplatform_v1.types.PipelineJob</em>) – Required. The PipelineJob to create.</p></li> |
| <li><p><strong>pipeline_job_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – <p>The ID to use for the PipelineJob, which will become the final component of |
| the PipelineJob name. If not provided, an ID will be automatically generated.</p> |
| <p>This value should be less than 128 characters, and valid characters are /[a-z][0-9]-/.</p> |
| </p></li> |
| <li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_training_pipeline"> |
| <span class="sig-name descname"><span class="pre">create_training_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_pipeline</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.create_training_pipeline"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_training_pipeline" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Creates a TrainingPipeline. A created TrainingPipeline right away will be attempted to be run.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li> |
| <li><p><strong>training_pipeline</strong> (<em>google.cloud.aiplatform_v1.types.TrainingPipeline</em>) – Required. The TrainingPipeline to create.</p></li> |
| <li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_job"> |
| <span class="sig-name descname"><span class="pre">create_custom_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">custom_job</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.create_custom_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Creates a CustomJob. A created CustomJob right away will be attempted to be run.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li> |
| <li><p><strong>custom_job</strong> (<em>google.cloud.aiplatform_v1.types.CustomJob</em>) – Required. The CustomJob to create. This corresponds to the <code class="docutils literal notranslate"><span class="pre">custom_job</span></code> field on |
| the <code class="docutils literal notranslate"><span class="pre">request</span></code> instance; if <code class="docutils literal notranslate"><span class="pre">request</span></code> is provided, this should not be set.</p></li> |
| <li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_container_training_job"> |
| <span class="sig-name descname"><span class="pre">create_custom_container_training_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">display_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_uri</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">command</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_image_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_predict_route</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_health_route</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_command</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_args</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_environment_variables</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_ports</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_description</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_instance_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_parameters_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_prediction_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_encryption_spec_key_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_encryption_spec_key_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">staging_bucket</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annotation_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_display_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_output_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">service_account</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">network</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bigquery_destination</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">environment_variables</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">replica_count</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">machine_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'n1-standard-4'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">accelerator_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'ACCELERATOR_TYPE_UNSPECIFIED'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">accelerator_count</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">boot_disk_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'pd-ssd'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">boot_disk_size_gb</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_fraction_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">validation_fraction_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_fraction_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_filter_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">validation_filter_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_filter_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predefined_split_column_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timestamp_split_column_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensorboard</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sync</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.create_custom_container_training_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_container_training_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Create Custom Container Training Job</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>display_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The user-defined name of this TrainingPipeline.</p></li> |
| <li><p><strong>command</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em>) – The command to be invoked when the container is started. |
| It overrides the entrypoint instruction in Dockerfile when provided</p></li> |
| <li><p><strong>container_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required: Uri of the training container image in the GCR.</p></li> |
| <li><p><strong>model_serving_container_image_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – If the training produces a managed Vertex AI Model, the URI |
| of the Model serving container suitable for serving the model produced by the |
| training script.</p></li> |
| <li><p><strong>model_serving_container_predict_route</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – If the training produces a managed Vertex AI Model, An |
| HTTP path to send prediction requests to the container, and which must be supported |
| by it. If not specified a default HTTP path will be used by Vertex AI.</p></li> |
| <li><p><strong>model_serving_container_health_route</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – If the training produces a managed Vertex AI Model, an |
| HTTP path to send health check requests to the container, and which must be supported |
| by it. If not specified a standard HTTP path will be used by AI Platform.</p></li> |
| <li><p><strong>model_serving_container_command</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – The command with which the container is run. Not executed |
| within a shell. The Docker image’s ENTRYPOINT is used if this is not provided. |
| Variable references $(VAR_NAME) are expanded using the container’s |
| environment. If a variable cannot be resolved, the reference in the |
| input string will be unchanged. The $(VAR_NAME) syntax can be escaped |
| with a double $$, ie: $$(VAR_NAME). Escaped references will never be |
| expanded, regardless of whether the variable exists or not.</p></li> |
| <li><p><strong>model_serving_container_args</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – The arguments to the command. The Docker image’s CMD is used if |
| this is not provided. Variable references $(VAR_NAME) are expanded using the |
| container’s environment. If a variable cannot be resolved, the reference |
| in the input string will be unchanged. The $(VAR_NAME) syntax can be |
| escaped with a double $$, ie: $$(VAR_NAME). Escaped references will |
| never be expanded, regardless of whether the variable exists or not.</p></li> |
| <li><p><strong>model_serving_container_environment_variables</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><em>dict</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – The environment variables that are to be |
| present in the container. Should be a dictionary where keys are environment variable names |
| and values are environment variable values for those names.</p></li> |
| <li><p><strong>model_serving_container_ports</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a><em>] </em><em>| </em><em>None</em>) – Declaration of ports that are exposed by the container. This |
| field is primarily informational, it gives Vertex AI information about the |
| network connections the container uses. Listing or not a port here has |
| no impact on whether the port is actually exposed, any port listening on |
| the default “0.0.0.0” address inside a container will be accessible from |
| the network.</p></li> |
| <li><p><strong>model_description</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – The description of the Model.</p></li> |
| <li><p><strong>model_instance_schema_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. Points to a YAML file stored on Google Cloud |
| Storage describing the format of a single instance, which |
| are used in |
| <code class="docutils literal notranslate"><span class="pre">PredictRequest.instances</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">ExplainRequest.instances</span></code> |
| and |
| <code class="docutils literal notranslate"><span class="pre">BatchPredictionJob.input_config</span></code>. |
| The schema is defined as an OpenAPI 3.0.2 <a class="reference external" href="https://tinyurl.com/y538mdwt#schema-object">Schema |
| Object</a>. |
| AutoML Models always have this field populated by AI |
| Platform. Note: The URI given on output will be immutable |
| and probably different, including the URI scheme, than the |
| one given on input. The output URI will point to a location |
| where the user only has a read access.</p></li> |
| <li><p><strong>model_parameters_schema_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. Points to a YAML file stored on Google Cloud |
| Storage describing the parameters of prediction and |
| explanation via |
| <code class="docutils literal notranslate"><span class="pre">PredictRequest.parameters</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">ExplainRequest.parameters</span></code> |
| and |
| <code class="docutils literal notranslate"><span class="pre">BatchPredictionJob.model_parameters</span></code>. |
| The schema is defined as an OpenAPI 3.0.2 <a class="reference external" href="https://tinyurl.com/y538mdwt#schema-object">Schema |
| Object</a>. |
| AutoML Models always have this field populated by AI |
| Platform, if no parameters are supported it is set to an |
| empty string. Note: The URI given on output will be |
| immutable and probably different, including the URI scheme, |
| than the one given on input. The output URI will point to a |
| location where the user only has a read access.</p></li> |
| <li><p><strong>model_prediction_schema_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. Points to a YAML file stored on Google Cloud |
| Storage describing the format of a single prediction |
| produced by this Model, which are returned via |
| <code class="docutils literal notranslate"><span class="pre">PredictResponse.predictions</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">ExplainResponse.explanations</span></code>, |
| and |
| <code class="docutils literal notranslate"><span class="pre">BatchPredictionJob.output_config</span></code>. |
| The schema is defined as an OpenAPI 3.0.2 <a class="reference external" href="https://tinyurl.com/y538mdwt#schema-object">Schema |
| Object</a>. |
| AutoML Models always have this field populated by AI |
| Platform. Note: The URI given on output will be immutable |
| and probably different, including the URI scheme, than the |
| one given on input. The output URI will point to a location |
| where the user only has a read access.</p></li> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Project to run training in.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Location to run training in.</p></li> |
| <li><p><strong>labels</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><em>dict</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – Optional. The labels with user-defined metadata to |
| organize TrainingPipelines. |
| Label keys and values can be no longer than 64 |
| characters, can only |
| contain lowercase letters, numeric characters, |
| underscores and dashes. International characters |
| are allowed. |
| See <a class="reference external" href="https://goo.gl/xmQnxf">https://goo.gl/xmQnxf</a> for more information |
| and examples of labels.</p></li> |
| <li><p><strong>training_encryption_spec_key_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. The Cloud KMS resource identifier of the customer |
| managed encryption key used to protect the training pipeline. Has the |
| form: |
| <code class="docutils literal notranslate"><span class="pre">projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key</span></code>. |
| The key needs to be in the same region as where the compute |
| resource is created.</p> |
| <p>If set, this TrainingPipeline will be secured by this key.</p> |
| <p>Note: Model trained by this TrainingPipeline is also secured |
| by this key if <code class="docutils literal notranslate"><span class="pre">model_to_upload</span></code> is not set separately.</p> |
| </p></li> |
| <li><p><strong>model_encryption_spec_key_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. The Cloud KMS resource identifier of the customer |
| managed encryption key used to protect the model. Has the |
| form: |
| <code class="docutils literal notranslate"><span class="pre">projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key</span></code>. |
| The key needs to be in the same region as where the compute |
| resource is created.</p> |
| <p>If set, the trained Model will be secured by this key.</p> |
| </p></li> |
| <li><p><strong>staging_bucket</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Bucket used to stage source and training artifacts.</p></li> |
| <li><p><strong>dataset</strong> (<em>None</em><em> | </em><em>(</em><em>datasets.ImageDataset</em><em> | </em><em>datasets.TabularDataset</em><em> | </em><em>datasets.TextDataset</em><em> | </em><em>datasets.VideoDataset</em><em>)</em>) – Vertex AI to fit this training against.</p></li> |
| <li><p><strong>annotation_schema_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Google Cloud Storage URI points to a YAML file describing |
| annotation schema. The schema is defined as an OpenAPI 3.0.2 |
| [Schema Object] |
| (<a class="reference external" href="https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schema-object">https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schema-object</a>)</p> |
| <p>Only Annotations that both match this schema and belong to |
| DataItems not ignored by the split method are used in |
| respectively training, validation or test role, depending on |
| the role of the DataItem they are on.</p> |
| <p>When used in conjunction with |
| <code class="docutils literal notranslate"><span class="pre">annotations_filter</span></code>, |
| the Annotations used for training are filtered by both |
| <code class="docutils literal notranslate"><span class="pre">annotations_filter</span></code> |
| and |
| <code class="docutils literal notranslate"><span class="pre">annotation_schema_uri</span></code>.</p> |
| </p></li> |
| <li><p><strong>model_display_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>If the script produces a managed Vertex AI Model. The display name of |
| the Model. The name can be up to 128 characters long and can be consist |
| of any UTF-8 characters.</p> |
| <p>If not provided upon creation, the job’s display_name is used.</p> |
| </p></li> |
| <li><p><strong>model_labels</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><em>dict</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – Optional. The labels with user-defined metadata to |
| organize your Models. |
| Label keys and values can be no longer than 64 |
| characters, can only |
| contain lowercase letters, numeric characters, |
| underscores and dashes. International characters |
| are allowed. |
| See <a class="reference external" href="https://goo.gl/xmQnxf">https://goo.gl/xmQnxf</a> for more information |
| and examples of labels.</p></li> |
| <li><p><strong>base_output_dir</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>GCS output directory of job. If not provided a timestamped directory in the |
| staging directory will be used.</p> |
| <p>Vertex AI sets the following environment variables when it runs your training code:</p> |
| <ul> |
| <li><dl class="simple"> |
| <dt>AIP_MODEL_DIR: a Cloud Storage URI of a directory intended for saving model artifacts,</dt><dd><p>i.e. <base_output_dir>/model/</p> |
| </dd> |
| </dl> |
| </li> |
| <li><dl class="simple"> |
| <dt>AIP_CHECKPOINT_DIR: a Cloud Storage URI of a directory intended for saving checkpoints,</dt><dd><p>i.e. <base_output_dir>/checkpoints/</p> |
| </dd> |
| </dl> |
| </li> |
| <li><dl class="simple"> |
| <dt>AIP_TENSORBOARD_LOG_DIR: a Cloud Storage URI of a directory intended for saving TensorBoard</dt><dd><p>logs, i.e. <base_output_dir>/logs/</p> |
| </dd> |
| </dl> |
| </li> |
| </ul> |
| </p></li> |
| <li><p><strong>service_account</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Specifies the service account for workload run-as account. |
| Users submitting jobs must have act-as permission on this run-as account.</p></li> |
| <li><p><strong>network</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – The full name of the Compute Engine network to which the job |
| should be peered. |
| Private services access must already be configured for the network. |
| If left unspecified, the job is not peered with any network.</p></li> |
| <li><p><strong>bigquery_destination</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Provide this field if <cite>dataset</cite> is a BiqQuery dataset. |
| The BigQuery project location where the training data is to |
| be written to. In the given project a new dataset is created |
| with name |
| <code class="docutils literal notranslate"><span class="pre">dataset_<dataset-id>_<annotation-type>_<timestamp-of-training-call></span></code> |
| where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All |
| training input data will be written into that dataset. In |
| the dataset three tables will be created, <code class="docutils literal notranslate"><span class="pre">training</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">validation</span></code> and <code class="docutils literal notranslate"><span class="pre">test</span></code>.</p> |
| <ul> |
| <li><p>AIP_DATA_FORMAT = “bigquery”.</p></li> |
| <li><p>AIP_TRAINING_DATA_URI =”bigquery_destination.dataset_*.training”</p></li> |
| <li><p>AIP_VALIDATION_DATA_URI = “bigquery_destination.dataset_*.validation”</p></li> |
| <li><p>AIP_TEST_DATA_URI = “bigquery_destination.dataset_*.test”</p></li> |
| </ul> |
| </p></li> |
| <li><p><strong>args</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.10)"><em>list</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a><em>] </em><em>| </em><em>None</em>) – Command line arguments to be passed to the Python script.</p></li> |
| <li><p><strong>environment_variables</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><em>dict</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – Environment variables to be passed to the container. |
| Should be a dictionary where keys are environment variable names |
| and values are environment variable values for those names. |
| At most 10 environment variables can be specified. |
| The Name of the environment variable must be unique.</p></li> |
| <li><p><strong>replica_count</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a>) – The number of worker replicas. If replica count = 1 then one chief |
| replica will be provisioned. If replica_count > 1 the remainder will be |
| provisioned as a worker replica pool.</p></li> |
| <li><p><strong>machine_type</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – The type of machine to use for training.</p></li> |
| <li><p><strong>accelerator_type</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Hardware accelerator type. One of ACCELERATOR_TYPE_UNSPECIFIED, |
| NVIDIA_TESLA_K80, NVIDIA_TESLA_P100, NVIDIA_TESLA_V100, NVIDIA_TESLA_P4, |
| NVIDIA_TESLA_T4</p></li> |
| <li><p><strong>accelerator_count</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a>) – The number of accelerators to attach to a worker replica.</p></li> |
| <li><p><strong>boot_disk_type</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Type of the boot disk, default is <cite>pd-ssd</cite>. |
| Valid values: <cite>pd-ssd</cite> (Persistent Disk Solid State Drive) or |
| <cite>pd-standard</cite> (Persistent Disk Hard Disk Drive).</p></li> |
| <li><p><strong>boot_disk_size_gb</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a>) – Size in GB of the boot disk, default is 100GB. |
| boot disk size must be within the range of [100, 64000].</p></li> |
| <li><p><strong>training_fraction_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – Optional. The fraction of the input data that is to be used to train |
| the Model. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>validation_fraction_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – Optional. The fraction of the input data that is to be used to |
| validate the Model. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>test_fraction_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – Optional. The fraction of the input data that is to be used to evaluate |
| the Model. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>training_filter_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. A filter on DataItems of the Dataset. DataItems that match |
| this filter are used to train the Model. A filter with same syntax |
| as the one used in DatasetService.ListDataItems may be used. If a |
| single DataItem is matched by more than one of the FilterSplit filters, |
| then it is assigned to the first set that applies to it in the training, |
| validation, test order. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>validation_filter_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. A filter on DataItems of the Dataset. DataItems that match |
| this filter are used to validate the Model. A filter with same syntax |
| as the one used in DatasetService.ListDataItems may be used. If a |
| single DataItem is matched by more than one of the FilterSplit filters, |
| then it is assigned to the first set that applies to it in the training, |
| validation, test order. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>test_filter_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. A filter on DataItems of the Dataset. DataItems that match |
| this filter are used to test the Model. A filter with same syntax |
| as the one used in DatasetService.ListDataItems may be used. If a |
| single DataItem is matched by more than one of the FilterSplit filters, |
| then it is assigned to the first set that applies to it in the training, |
| validation, test order. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>predefined_split_column_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. The key is a name of one of the Dataset’s data |
| columns. The value of the key (either the label’s value or |
| value in the column) must be one of {<code class="docutils literal notranslate"><span class="pre">training</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">validation</span></code>, <code class="docutils literal notranslate"><span class="pre">test</span></code>}, and it defines to which set the |
| given piece of data is assigned. If for a piece of data the |
| key is not present or has an invalid value, that piece is |
| ignored by the pipeline.</p> |
| <p>Supported only for tabular and time series Datasets.</p> |
| </p></li> |
| <li><p><strong>timestamp_split_column_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. The key is a name of one of the Dataset’s data |
| columns. The value of the key values of the key (the values in |
| the column) must be in RFC 3339 <cite>date-time</cite> format, where |
| <cite>time-offset</cite> = <cite>“Z”</cite> (e.g. 1985-04-12T23:20:50.52Z). If for a |
| piece of data the key is not present or has an invalid value, |
| that piece is ignored by the pipeline.</p> |
| <p>Supported only for tabular and time series Datasets.</p> |
| </p></li> |
| <li><p><strong>tensorboard</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. The name of a Vertex AI resource to which this CustomJob will upload |
| logs. Format: |
| <code class="docutils literal notranslate"><span class="pre">projects/{project}/locations/{location}/tensorboards/{tensorboard}</span></code> |
| For more information on configuring your service account please visit: |
| <a class="reference external" href="https://cloud.google.com/vertex-ai/docs/experiments/tensorboard-training">https://cloud.google.com/vertex-ai/docs/experiments/tensorboard-training</a></p></li> |
| <li><p><strong>sync</strong> – Whether to execute the AI Platform job synchronously. If False, this method |
| will be executed in concurrent Future and any downstream object will |
| be immediately returned and synced when the Future has completed.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_python_package_training_job"> |
| <span class="sig-name descname"><span class="pre">create_custom_python_package_training_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">display_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">python_package_gcs_uri</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">python_module_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_uri</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_image_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_predict_route</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_health_route</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_command</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_args</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_environment_variables</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_ports</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_description</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_instance_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_parameters_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_prediction_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_encryption_spec_key_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_encryption_spec_key_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">staging_bucket</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annotation_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_display_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_output_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">service_account</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">network</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bigquery_destination</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">environment_variables</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">replica_count</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">machine_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'n1-standard-4'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">accelerator_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'ACCELERATOR_TYPE_UNSPECIFIED'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">accelerator_count</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">boot_disk_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'pd-ssd'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">boot_disk_size_gb</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_fraction_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">validation_fraction_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_fraction_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_filter_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">validation_filter_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_filter_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predefined_split_column_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timestamp_split_column_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensorboard</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sync</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.create_custom_python_package_training_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_python_package_training_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Create Custom Python Package Training Job</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>display_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The user-defined name of this TrainingPipeline.</p></li> |
| <li><p><strong>python_package_gcs_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required: GCS location of the training python package.</p></li> |
| <li><p><strong>python_module_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required: The module name of the training python package.</p></li> |
| <li><p><strong>container_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required: Uri of the training container image in the GCR.</p></li> |
| <li><p><strong>model_serving_container_image_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – If the training produces a managed Vertex AI Model, the URI |
| of the Model serving container suitable for serving the model produced by the |
| training script.</p></li> |
| <li><p><strong>model_serving_container_predict_route</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – If the training produces a managed Vertex AI Model, An |
| HTTP path to send prediction requests to the container, and which must be supported |
| by it. If not specified a default HTTP path will be used by Vertex AI.</p></li> |
| <li><p><strong>model_serving_container_health_route</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – If the training produces a managed Vertex AI Model, an |
| HTTP path to send health check requests to the container, and which must be supported |
| by it. If not specified a standard HTTP path will be used by AI Platform.</p></li> |
| <li><p><strong>model_serving_container_command</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – The command with which the container is run. Not executed |
| within a shell. The Docker image’s ENTRYPOINT is used if this is not provided. |
| Variable references $(VAR_NAME) are expanded using the container’s |
| environment. If a variable cannot be resolved, the reference in the |
| input string will be unchanged. The $(VAR_NAME) syntax can be escaped |
| with a double $$, ie: $$(VAR_NAME). Escaped references will never be |
| expanded, regardless of whether the variable exists or not.</p></li> |
| <li><p><strong>model_serving_container_args</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – The arguments to the command. The Docker image’s CMD is used if |
| this is not provided. Variable references $(VAR_NAME) are expanded using the |
| container’s environment. If a variable cannot be resolved, the reference |
| in the input string will be unchanged. The $(VAR_NAME) syntax can be |
| escaped with a double $$, ie: $$(VAR_NAME). Escaped references will |
| never be expanded, regardless of whether the variable exists or not.</p></li> |
| <li><p><strong>model_serving_container_environment_variables</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><em>dict</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – The environment variables that are to be |
| present in the container. Should be a dictionary where keys are environment variable names |
| and values are environment variable values for those names.</p></li> |
| <li><p><strong>model_serving_container_ports</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a><em>] </em><em>| </em><em>None</em>) – Declaration of ports that are exposed by the container. This |
| field is primarily informational, it gives Vertex AI information about the |
| network connections the container uses. Listing or not a port here has |
| no impact on whether the port is actually exposed, any port listening on |
| the default “0.0.0.0” address inside a container will be accessible from |
| the network.</p></li> |
| <li><p><strong>model_description</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – The description of the Model.</p></li> |
| <li><p><strong>model_instance_schema_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. Points to a YAML file stored on Google Cloud |
| Storage describing the format of a single instance, which |
| are used in |
| <code class="docutils literal notranslate"><span class="pre">PredictRequest.instances</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">ExplainRequest.instances</span></code> |
| and |
| <code class="docutils literal notranslate"><span class="pre">BatchPredictionJob.input_config</span></code>. |
| The schema is defined as an OpenAPI 3.0.2 <a class="reference external" href="https://tinyurl.com/y538mdwt#schema-object">Schema |
| Object</a>. |
| AutoML Models always have this field populated by AI |
| Platform. Note: The URI given on output will be immutable |
| and probably different, including the URI scheme, than the |
| one given on input. The output URI will point to a location |
| where the user only has a read access.</p></li> |
| <li><p><strong>model_parameters_schema_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. Points to a YAML file stored on Google Cloud |
| Storage describing the parameters of prediction and |
| explanation via |
| <code class="docutils literal notranslate"><span class="pre">PredictRequest.parameters</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">ExplainRequest.parameters</span></code> |
| and |
| <code class="docutils literal notranslate"><span class="pre">BatchPredictionJob.model_parameters</span></code>. |
| The schema is defined as an OpenAPI 3.0.2 <a class="reference external" href="https://tinyurl.com/y538mdwt#schema-object">Schema |
| Object</a>. |
| AutoML Models always have this field populated by AI |
| Platform, if no parameters are supported it is set to an |
| empty string. Note: The URI given on output will be |
| immutable and probably different, including the URI scheme, |
| than the one given on input. The output URI will point to a |
| location where the user only has a read access.</p></li> |
| <li><p><strong>model_prediction_schema_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. Points to a YAML file stored on Google Cloud |
| Storage describing the format of a single prediction |
| produced by this Model, which are returned via |
| <code class="docutils literal notranslate"><span class="pre">PredictResponse.predictions</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">ExplainResponse.explanations</span></code>, |
| and |
| <code class="docutils literal notranslate"><span class="pre">BatchPredictionJob.output_config</span></code>. |
| The schema is defined as an OpenAPI 3.0.2 <a class="reference external" href="https://tinyurl.com/y538mdwt#schema-object">Schema |
| Object</a>. |
| AutoML Models always have this field populated by AI |
| Platform. Note: The URI given on output will be immutable |
| and probably different, including the URI scheme, than the |
| one given on input. The output URI will point to a location |
| where the user only has a read access.</p></li> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Project to run training in.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Location to run training in.</p></li> |
| <li><p><strong>labels</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><em>dict</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – Optional. The labels with user-defined metadata to |
| organize TrainingPipelines. |
| Label keys and values can be no longer than 64 |
| characters, can only |
| contain lowercase letters, numeric characters, |
| underscores and dashes. International characters |
| are allowed. |
| See <a class="reference external" href="https://goo.gl/xmQnxf">https://goo.gl/xmQnxf</a> for more information |
| and examples of labels.</p></li> |
| <li><p><strong>training_encryption_spec_key_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. The Cloud KMS resource identifier of the customer |
| managed encryption key used to protect the training pipeline. Has the |
| form: |
| <code class="docutils literal notranslate"><span class="pre">projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key</span></code>. |
| The key needs to be in the same region as where the compute |
| resource is created.</p> |
| <p>If set, this TrainingPipeline will be secured by this key.</p> |
| <p>Note: Model trained by this TrainingPipeline is also secured |
| by this key if <code class="docutils literal notranslate"><span class="pre">model_to_upload</span></code> is not set separately.</p> |
| </p></li> |
| <li><p><strong>model_encryption_spec_key_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. The Cloud KMS resource identifier of the customer |
| managed encryption key used to protect the model. Has the |
| form: |
| <code class="docutils literal notranslate"><span class="pre">projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key</span></code>. |
| The key needs to be in the same region as where the compute |
| resource is created.</p> |
| <p>If set, the trained Model will be secured by this key.</p> |
| </p></li> |
| <li><p><strong>staging_bucket</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Bucket used to stage source and training artifacts.</p></li> |
| <li><p><strong>dataset</strong> (<em>None</em><em> | </em><em>(</em><em>datasets.ImageDataset</em><em> | </em><em>datasets.TabularDataset</em><em> | </em><em>datasets.TextDataset</em><em> | </em><em>datasets.VideoDataset</em><em>)</em>) – Vertex AI to fit this training against.</p></li> |
| <li><p><strong>annotation_schema_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Google Cloud Storage URI points to a YAML file describing |
| annotation schema. The schema is defined as an OpenAPI 3.0.2 |
| [Schema Object] |
| (<a class="reference external" href="https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schema-object">https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schema-object</a>)</p> |
| <p>Only Annotations that both match this schema and belong to |
| DataItems not ignored by the split method are used in |
| respectively training, validation or test role, depending on |
| the role of the DataItem they are on.</p> |
| <p>When used in conjunction with |
| <code class="docutils literal notranslate"><span class="pre">annotations_filter</span></code>, |
| the Annotations used for training are filtered by both |
| <code class="docutils literal notranslate"><span class="pre">annotations_filter</span></code> |
| and |
| <code class="docutils literal notranslate"><span class="pre">annotation_schema_uri</span></code>.</p> |
| </p></li> |
| <li><p><strong>model_display_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>If the script produces a managed Vertex AI Model. The display name of |
| the Model. The name can be up to 128 characters long and can be consist |
| of any UTF-8 characters.</p> |
| <p>If not provided upon creation, the job’s display_name is used.</p> |
| </p></li> |
| <li><p><strong>model_labels</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><em>dict</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – Optional. The labels with user-defined metadata to |
| organize your Models. |
| Label keys and values can be no longer than 64 |
| characters, can only |
| contain lowercase letters, numeric characters, |
| underscores and dashes. International characters |
| are allowed. |
| See <a class="reference external" href="https://goo.gl/xmQnxf">https://goo.gl/xmQnxf</a> for more information |
| and examples of labels.</p></li> |
| <li><p><strong>base_output_dir</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>GCS output directory of job. If not provided a timestamped directory in the |
| staging directory will be used.</p> |
| <p>Vertex AI sets the following environment variables when it runs your training code:</p> |
| <ul> |
| <li><dl class="simple"> |
| <dt>AIP_MODEL_DIR: a Cloud Storage URI of a directory intended for saving model artifacts,</dt><dd><p>i.e. <base_output_dir>/model/</p> |
| </dd> |
| </dl> |
| </li> |
| <li><dl class="simple"> |
| <dt>AIP_CHECKPOINT_DIR: a Cloud Storage URI of a directory intended for saving checkpoints,</dt><dd><p>i.e. <base_output_dir>/checkpoints/</p> |
| </dd> |
| </dl> |
| </li> |
| <li><dl class="simple"> |
| <dt>AIP_TENSORBOARD_LOG_DIR: a Cloud Storage URI of a directory intended for saving TensorBoard</dt><dd><p>logs, i.e. <base_output_dir>/logs/</p> |
| </dd> |
| </dl> |
| </li> |
| </ul> |
| </p></li> |
| <li><p><strong>service_account</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Specifies the service account for workload run-as account. |
| Users submitting jobs must have act-as permission on this run-as account.</p></li> |
| <li><p><strong>network</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – The full name of the Compute Engine network to which the job |
| should be peered. |
| Private services access must already be configured for the network. |
| If left unspecified, the job is not peered with any network.</p></li> |
| <li><p><strong>bigquery_destination</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Provide this field if <cite>dataset</cite> is a BiqQuery dataset. |
| The BigQuery project location where the training data is to |
| be written to. In the given project a new dataset is created |
| with name |
| <code class="docutils literal notranslate"><span class="pre">dataset_<dataset-id>_<annotation-type>_<timestamp-of-training-call></span></code> |
| where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All |
| training input data will be written into that dataset. In |
| the dataset three tables will be created, <code class="docutils literal notranslate"><span class="pre">training</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">validation</span></code> and <code class="docutils literal notranslate"><span class="pre">test</span></code>.</p> |
| <ul> |
| <li><p>AIP_DATA_FORMAT = “bigquery”.</p></li> |
| <li><p>AIP_TRAINING_DATA_URI =”bigquery_destination.dataset_*.training”</p></li> |
| <li><p>AIP_VALIDATION_DATA_URI = “bigquery_destination.dataset_*.validation”</p></li> |
| <li><p>AIP_TEST_DATA_URI = “bigquery_destination.dataset_*.test”</p></li> |
| </ul> |
| </p></li> |
| <li><p><strong>args</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.10)"><em>list</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a><em>] </em><em>| </em><em>None</em>) – Command line arguments to be passed to the Python script.</p></li> |
| <li><p><strong>environment_variables</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><em>dict</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – Environment variables to be passed to the container. |
| Should be a dictionary where keys are environment variable names |
| and values are environment variable values for those names. |
| At most 10 environment variables can be specified. |
| The Name of the environment variable must be unique.</p></li> |
| <li><p><strong>replica_count</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a>) – The number of worker replicas. If replica count = 1 then one chief |
| replica will be provisioned. If replica_count > 1 the remainder will be |
| provisioned as a worker replica pool.</p></li> |
| <li><p><strong>machine_type</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – The type of machine to use for training.</p></li> |
| <li><p><strong>accelerator_type</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Hardware accelerator type. One of ACCELERATOR_TYPE_UNSPECIFIED, |
| NVIDIA_TESLA_K80, NVIDIA_TESLA_P100, NVIDIA_TESLA_V100, NVIDIA_TESLA_P4, |
| NVIDIA_TESLA_T4</p></li> |
| <li><p><strong>accelerator_count</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a>) – The number of accelerators to attach to a worker replica.</p></li> |
| <li><p><strong>boot_disk_type</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Type of the boot disk, default is <cite>pd-ssd</cite>. |
| Valid values: <cite>pd-ssd</cite> (Persistent Disk Solid State Drive) or |
| <cite>pd-standard</cite> (Persistent Disk Hard Disk Drive).</p></li> |
| <li><p><strong>boot_disk_size_gb</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a>) – Size in GB of the boot disk, default is 100GB. |
| boot disk size must be within the range of [100, 64000].</p></li> |
| <li><p><strong>training_fraction_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – Optional. The fraction of the input data that is to be used to train |
| the Model. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>validation_fraction_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – Optional. The fraction of the input data that is to be used to |
| validate the Model. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>test_fraction_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – Optional. The fraction of the input data that is to be used to evaluate |
| the Model. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>training_filter_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. A filter on DataItems of the Dataset. DataItems that match |
| this filter are used to train the Model. A filter with same syntax |
| as the one used in DatasetService.ListDataItems may be used. If a |
| single DataItem is matched by more than one of the FilterSplit filters, |
| then it is assigned to the first set that applies to it in the training, |
| validation, test order. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>validation_filter_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. A filter on DataItems of the Dataset. DataItems that match |
| this filter are used to validate the Model. A filter with same syntax |
| as the one used in DatasetService.ListDataItems may be used. If a |
| single DataItem is matched by more than one of the FilterSplit filters, |
| then it is assigned to the first set that applies to it in the training, |
| validation, test order. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>test_filter_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. A filter on DataItems of the Dataset. DataItems that match |
| this filter are used to test the Model. A filter with same syntax |
| as the one used in DatasetService.ListDataItems may be used. If a |
| single DataItem is matched by more than one of the FilterSplit filters, |
| then it is assigned to the first set that applies to it in the training, |
| validation, test order. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>predefined_split_column_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. The key is a name of one of the Dataset’s data |
| columns. The value of the key (either the label’s value or |
| value in the column) must be one of {<code class="docutils literal notranslate"><span class="pre">training</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">validation</span></code>, <code class="docutils literal notranslate"><span class="pre">test</span></code>}, and it defines to which set the |
| given piece of data is assigned. If for a piece of data the |
| key is not present or has an invalid value, that piece is |
| ignored by the pipeline.</p> |
| <p>Supported only for tabular and time series Datasets.</p> |
| </p></li> |
| <li><p><strong>timestamp_split_column_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. The key is a name of one of the Dataset’s data |
| columns. The value of the key values of the key (the values in |
| the column) must be in RFC 3339 <cite>date-time</cite> format, where |
| <cite>time-offset</cite> = <cite>“Z”</cite> (e.g. 1985-04-12T23:20:50.52Z). If for a |
| piece of data the key is not present or has an invalid value, |
| that piece is ignored by the pipeline.</p> |
| <p>Supported only for tabular and time series Datasets.</p> |
| </p></li> |
| <li><p><strong>tensorboard</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. The name of a Vertex AI resource to which this CustomJob will upload |
| logs. Format: |
| <code class="docutils literal notranslate"><span class="pre">projects/{project}/locations/{location}/tensorboards/{tensorboard}</span></code> |
| For more information on configuring your service account please visit: |
| <a class="reference external" href="https://cloud.google.com/vertex-ai/docs/experiments/tensorboard-training">https://cloud.google.com/vertex-ai/docs/experiments/tensorboard-training</a></p></li> |
| <li><p><strong>sync</strong> – Whether to execute the AI Platform job synchronously. If False, this method |
| will be executed in concurrent Future and any downstream object will |
| be immediately returned and synced when the Future has completed.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_training_job"> |
| <span class="sig-name descname"><span class="pre">create_custom_training_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">display_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">script_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">container_uri</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">requirements</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_image_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_predict_route</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_health_route</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_command</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_args</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_environment_variables</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_serving_container_ports</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_description</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_instance_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_parameters_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_prediction_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_encryption_spec_key_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_encryption_spec_key_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">staging_bucket</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">annotation_schema_uri</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_display_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_output_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">service_account</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">network</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bigquery_destination</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">environment_variables</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">replica_count</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">machine_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'n1-standard-4'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">accelerator_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'ACCELERATOR_TYPE_UNSPECIFIED'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">accelerator_count</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">boot_disk_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'pd-ssd'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">boot_disk_size_gb</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_fraction_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">validation_fraction_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_fraction_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_filter_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">validation_filter_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_filter_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predefined_split_column_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timestamp_split_column_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensorboard</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sync</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.create_custom_training_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_training_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Create Custom Training Job</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>display_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The user-defined name of this TrainingPipeline.</p></li> |
| <li><p><strong>script_path</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. Local path to training script.</p></li> |
| <li><p><strong>container_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required: Uri of the training container image in the GCR.</p></li> |
| <li><p><strong>requirements</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – List of python packages dependencies of script.</p></li> |
| <li><p><strong>model_serving_container_image_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – If the training produces a managed Vertex AI Model, the URI |
| of the Model serving container suitable for serving the model produced by the |
| training script.</p></li> |
| <li><p><strong>model_serving_container_predict_route</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – If the training produces a managed Vertex AI Model, An |
| HTTP path to send prediction requests to the container, and which must be supported |
| by it. If not specified a default HTTP path will be used by Vertex AI.</p></li> |
| <li><p><strong>model_serving_container_health_route</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – If the training produces a managed Vertex AI Model, an |
| HTTP path to send health check requests to the container, and which must be supported |
| by it. If not specified a standard HTTP path will be used by AI Platform.</p></li> |
| <li><p><strong>model_serving_container_command</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – The command with which the container is run. Not executed |
| within a shell. The Docker image’s ENTRYPOINT is used if this is not provided. |
| Variable references $(VAR_NAME) are expanded using the container’s |
| environment. If a variable cannot be resolved, the reference in the |
| input string will be unchanged. The $(VAR_NAME) syntax can be escaped |
| with a double $$, ie: $$(VAR_NAME). Escaped references will never be |
| expanded, regardless of whether the variable exists or not.</p></li> |
| <li><p><strong>model_serving_container_args</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – The arguments to the command. The Docker image’s CMD is used if |
| this is not provided. Variable references $(VAR_NAME) are expanded using the |
| container’s environment. If a variable cannot be resolved, the reference |
| in the input string will be unchanged. The $(VAR_NAME) syntax can be |
| escaped with a double $$, ie: $$(VAR_NAME). Escaped references will |
| never be expanded, regardless of whether the variable exists or not.</p></li> |
| <li><p><strong>model_serving_container_environment_variables</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><em>dict</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – The environment variables that are to be |
| present in the container. Should be a dictionary where keys are environment variable names |
| and values are environment variable values for those names.</p></li> |
| <li><p><strong>model_serving_container_ports</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a><em>] </em><em>| </em><em>None</em>) – Declaration of ports that are exposed by the container. This |
| field is primarily informational, it gives Vertex AI information about the |
| network connections the container uses. Listing or not a port here has |
| no impact on whether the port is actually exposed, any port listening on |
| the default “0.0.0.0” address inside a container will be accessible from |
| the network.</p></li> |
| <li><p><strong>model_description</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – The description of the Model.</p></li> |
| <li><p><strong>model_instance_schema_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. Points to a YAML file stored on Google Cloud |
| Storage describing the format of a single instance, which |
| are used in |
| <code class="docutils literal notranslate"><span class="pre">PredictRequest.instances</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">ExplainRequest.instances</span></code> |
| and |
| <code class="docutils literal notranslate"><span class="pre">BatchPredictionJob.input_config</span></code>. |
| The schema is defined as an OpenAPI 3.0.2 <a class="reference external" href="https://tinyurl.com/y538mdwt#schema-object">Schema |
| Object</a>. |
| AutoML Models always have this field populated by AI |
| Platform. Note: The URI given on output will be immutable |
| and probably different, including the URI scheme, than the |
| one given on input. The output URI will point to a location |
| where the user only has a read access.</p></li> |
| <li><p><strong>model_parameters_schema_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. Points to a YAML file stored on Google Cloud |
| Storage describing the parameters of prediction and |
| explanation via |
| <code class="docutils literal notranslate"><span class="pre">PredictRequest.parameters</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">ExplainRequest.parameters</span></code> |
| and |
| <code class="docutils literal notranslate"><span class="pre">BatchPredictionJob.model_parameters</span></code>. |
| The schema is defined as an OpenAPI 3.0.2 <a class="reference external" href="https://tinyurl.com/y538mdwt#schema-object">Schema |
| Object</a>. |
| AutoML Models always have this field populated by AI |
| Platform, if no parameters are supported it is set to an |
| empty string. Note: The URI given on output will be |
| immutable and probably different, including the URI scheme, |
| than the one given on input. The output URI will point to a |
| location where the user only has a read access.</p></li> |
| <li><p><strong>model_prediction_schema_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. Points to a YAML file stored on Google Cloud |
| Storage describing the format of a single prediction |
| produced by this Model, which are returned via |
| <code class="docutils literal notranslate"><span class="pre">PredictResponse.predictions</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">ExplainResponse.explanations</span></code>, |
| and |
| <code class="docutils literal notranslate"><span class="pre">BatchPredictionJob.output_config</span></code>. |
| The schema is defined as an OpenAPI 3.0.2 <a class="reference external" href="https://tinyurl.com/y538mdwt#schema-object">Schema |
| Object</a>. |
| AutoML Models always have this field populated by AI |
| Platform. Note: The URI given on output will be immutable |
| and probably different, including the URI scheme, than the |
| one given on input. The output URI will point to a location |
| where the user only has a read access.</p></li> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Project to run training in.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Location to run training in.</p></li> |
| <li><p><strong>labels</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><em>dict</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – Optional. The labels with user-defined metadata to |
| organize TrainingPipelines. |
| Label keys and values can be no longer than 64 |
| characters, can only |
| contain lowercase letters, numeric characters, |
| underscores and dashes. International characters |
| are allowed. |
| See <a class="reference external" href="https://goo.gl/xmQnxf">https://goo.gl/xmQnxf</a> for more information |
| and examples of labels.</p></li> |
| <li><p><strong>training_encryption_spec_key_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. The Cloud KMS resource identifier of the customer |
| managed encryption key used to protect the training pipeline. Has the |
| form: |
| <code class="docutils literal notranslate"><span class="pre">projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key</span></code>. |
| The key needs to be in the same region as where the compute |
| resource is created.</p> |
| <p>If set, this TrainingPipeline will be secured by this key.</p> |
| <p>Note: Model trained by this TrainingPipeline is also secured |
| by this key if <code class="docutils literal notranslate"><span class="pre">model_to_upload</span></code> is not set separately.</p> |
| </p></li> |
| <li><p><strong>model_encryption_spec_key_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. The Cloud KMS resource identifier of the customer |
| managed encryption key used to protect the model. Has the |
| form: |
| <code class="docutils literal notranslate"><span class="pre">projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key</span></code>. |
| The key needs to be in the same region as where the compute |
| resource is created.</p> |
| <p>If set, the trained Model will be secured by this key.</p> |
| </p></li> |
| <li><p><strong>staging_bucket</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Bucket used to stage source and training artifacts.</p></li> |
| <li><p><strong>dataset</strong> (<em>None</em><em> | </em><em>(</em><em>datasets.ImageDataset</em><em> | </em><em>datasets.TabularDataset</em><em> | </em><em>datasets.TextDataset</em><em> | </em><em>datasets.VideoDataset</em><em>)</em>) – Vertex AI to fit this training against.</p></li> |
| <li><p><strong>annotation_schema_uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Google Cloud Storage URI points to a YAML file describing |
| annotation schema. The schema is defined as an OpenAPI 3.0.2 |
| [Schema Object] |
| (<a class="reference external" href="https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schema-object">https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schema-object</a>)</p> |
| <p>Only Annotations that both match this schema and belong to |
| DataItems not ignored by the split method are used in |
| respectively training, validation or test role, depending on |
| the role of the DataItem they are on.</p> |
| <p>When used in conjunction with |
| <code class="docutils literal notranslate"><span class="pre">annotations_filter</span></code>, |
| the Annotations used for training are filtered by both |
| <code class="docutils literal notranslate"><span class="pre">annotations_filter</span></code> |
| and |
| <code class="docutils literal notranslate"><span class="pre">annotation_schema_uri</span></code>.</p> |
| </p></li> |
| <li><p><strong>model_display_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>If the script produces a managed Vertex AI Model. The display name of |
| the Model. The name can be up to 128 characters long and can be consist |
| of any UTF-8 characters.</p> |
| <p>If not provided upon creation, the job’s display_name is used.</p> |
| </p></li> |
| <li><p><strong>model_labels</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><em>dict</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – Optional. The labels with user-defined metadata to |
| organize your Models. |
| Label keys and values can be no longer than 64 |
| characters, can only |
| contain lowercase letters, numeric characters, |
| underscores and dashes. International characters |
| are allowed. |
| See <a class="reference external" href="https://goo.gl/xmQnxf">https://goo.gl/xmQnxf</a> for more information |
| and examples of labels.</p></li> |
| <li><p><strong>base_output_dir</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>GCS output directory of job. If not provided a timestamped directory in the |
| staging directory will be used.</p> |
| <p>Vertex AI sets the following environment variables when it runs your training code:</p> |
| <ul> |
| <li><dl class="simple"> |
| <dt>AIP_MODEL_DIR: a Cloud Storage URI of a directory intended for saving model artifacts,</dt><dd><p>i.e. <base_output_dir>/model/</p> |
| </dd> |
| </dl> |
| </li> |
| <li><dl class="simple"> |
| <dt>AIP_CHECKPOINT_DIR: a Cloud Storage URI of a directory intended for saving checkpoints,</dt><dd><p>i.e. <base_output_dir>/checkpoints/</p> |
| </dd> |
| </dl> |
| </li> |
| <li><dl class="simple"> |
| <dt>AIP_TENSORBOARD_LOG_DIR: a Cloud Storage URI of a directory intended for saving TensorBoard</dt><dd><p>logs, i.e. <base_output_dir>/logs/</p> |
| </dd> |
| </dl> |
| </li> |
| </ul> |
| </p></li> |
| <li><p><strong>service_account</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Specifies the service account for workload run-as account. |
| Users submitting jobs must have act-as permission on this run-as account.</p></li> |
| <li><p><strong>network</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – The full name of the Compute Engine network to which the job |
| should be peered. |
| Private services access must already be configured for the network. |
| If left unspecified, the job is not peered with any network.</p></li> |
| <li><p><strong>bigquery_destination</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Provide this field if <cite>dataset</cite> is a BiqQuery dataset. |
| The BigQuery project location where the training data is to |
| be written to. In the given project a new dataset is created |
| with name |
| <code class="docutils literal notranslate"><span class="pre">dataset_<dataset-id>_<annotation-type>_<timestamp-of-training-call></span></code> |
| where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All |
| training input data will be written into that dataset. In |
| the dataset three tables will be created, <code class="docutils literal notranslate"><span class="pre">training</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">validation</span></code> and <code class="docutils literal notranslate"><span class="pre">test</span></code>.</p> |
| <ul> |
| <li><p>AIP_DATA_FORMAT = “bigquery”.</p></li> |
| <li><p>AIP_TRAINING_DATA_URI =”bigquery_destination.dataset_*.training”</p></li> |
| <li><p>AIP_VALIDATION_DATA_URI = “bigquery_destination.dataset_*.validation”</p></li> |
| <li><p>AIP_TEST_DATA_URI = “bigquery_destination.dataset_*.test”</p></li> |
| </ul> |
| </p></li> |
| <li><p><strong>args</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.10)"><em>list</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a><em>] </em><em>| </em><em>None</em>) – Command line arguments to be passed to the Python script.</p></li> |
| <li><p><strong>environment_variables</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><em>dict</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – Environment variables to be passed to the container. |
| Should be a dictionary where keys are environment variable names |
| and values are environment variable values for those names. |
| At most 10 environment variables can be specified. |
| The Name of the environment variable must be unique.</p></li> |
| <li><p><strong>replica_count</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a>) – The number of worker replicas. If replica count = 1 then one chief |
| replica will be provisioned. If replica_count > 1 the remainder will be |
| provisioned as a worker replica pool.</p></li> |
| <li><p><strong>machine_type</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – The type of machine to use for training.</p></li> |
| <li><p><strong>accelerator_type</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Hardware accelerator type. One of ACCELERATOR_TYPE_UNSPECIFIED, |
| NVIDIA_TESLA_K80, NVIDIA_TESLA_P100, NVIDIA_TESLA_V100, NVIDIA_TESLA_P4, |
| NVIDIA_TESLA_T4</p></li> |
| <li><p><strong>accelerator_count</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a>) – The number of accelerators to attach to a worker replica.</p></li> |
| <li><p><strong>boot_disk_type</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Type of the boot disk, default is <cite>pd-ssd</cite>. |
| Valid values: <cite>pd-ssd</cite> (Persistent Disk Solid State Drive) or |
| <cite>pd-standard</cite> (Persistent Disk Hard Disk Drive).</p></li> |
| <li><p><strong>boot_disk_size_gb</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a>) – Size in GB of the boot disk, default is 100GB. |
| boot disk size must be within the range of [100, 64000].</p></li> |
| <li><p><strong>training_fraction_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – Optional. The fraction of the input data that is to be used to train |
| the Model. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>validation_fraction_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – Optional. The fraction of the input data that is to be used to |
| validate the Model. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>test_fraction_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – Optional. The fraction of the input data that is to be used to evaluate |
| the Model. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>training_filter_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. A filter on DataItems of the Dataset. DataItems that match |
| this filter are used to train the Model. A filter with same syntax |
| as the one used in DatasetService.ListDataItems may be used. If a |
| single DataItem is matched by more than one of the FilterSplit filters, |
| then it is assigned to the first set that applies to it in the training, |
| validation, test order. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>validation_filter_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. A filter on DataItems of the Dataset. DataItems that match |
| this filter are used to validate the Model. A filter with same syntax |
| as the one used in DatasetService.ListDataItems may be used. If a |
| single DataItem is matched by more than one of the FilterSplit filters, |
| then it is assigned to the first set that applies to it in the training, |
| validation, test order. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>test_filter_split</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. A filter on DataItems of the Dataset. DataItems that match |
| this filter are used to test the Model. A filter with same syntax |
| as the one used in DatasetService.ListDataItems may be used. If a |
| single DataItem is matched by more than one of the FilterSplit filters, |
| then it is assigned to the first set that applies to it in the training, |
| validation, test order. This is ignored if Dataset is not provided.</p></li> |
| <li><p><strong>predefined_split_column_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. The key is a name of one of the Dataset’s data |
| columns. The value of the key (either the label’s value or |
| value in the column) must be one of {<code class="docutils literal notranslate"><span class="pre">training</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">validation</span></code>, <code class="docutils literal notranslate"><span class="pre">test</span></code>}, and it defines to which set the |
| given piece of data is assigned. If for a piece of data the |
| key is not present or has an invalid value, that piece is |
| ignored by the pipeline.</p> |
| <p>Supported only for tabular and time series Datasets.</p> |
| </p></li> |
| <li><p><strong>timestamp_split_column_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. The key is a name of one of the Dataset’s data |
| columns. The value of the key values of the key (the values in |
| the column) must be in RFC 3339 <cite>date-time</cite> format, where |
| <cite>time-offset</cite> = <cite>“Z”</cite> (e.g. 1985-04-12T23:20:50.52Z). If for a |
| piece of data the key is not present or has an invalid value, |
| that piece is ignored by the pipeline.</p> |
| <p>Supported only for tabular and time series Datasets.</p> |
| </p></li> |
| <li><p><strong>tensorboard</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. The name of a Vertex AI resource to which this CustomJob will upload |
| logs. Format: |
| <code class="docutils literal notranslate"><span class="pre">projects/{project}/locations/{location}/tensorboards/{tensorboard}</span></code> |
| For more information on configuring your service account please visit: |
| <a class="reference external" href="https://cloud.google.com/vertex-ai/docs/experiments/tensorboard-training">https://cloud.google.com/vertex-ai/docs/experiments/tensorboard-training</a></p></li> |
| <li><p><strong>sync</strong> – Whether to execute the AI Platform job synchronously. If False, this method |
| will be executed in concurrent Future and any downstream object will |
| be immediately returned and synced when the Future has completed.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.delete_pipeline_job"> |
| <span class="sig-name descname"><span class="pre">delete_pipeline_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_job</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.delete_pipeline_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.delete_pipeline_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Deletes a PipelineJob.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li> |
| <li><p><strong>pipeline_job</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The name of the PipelineJob resource to be deleted.</p></li> |
| <li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.delete_training_pipeline"> |
| <span class="sig-name descname"><span class="pre">delete_training_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_pipeline</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.delete_training_pipeline"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.delete_training_pipeline" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Deletes a TrainingPipeline.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li> |
| <li><p><strong>training_pipeline</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The name of the TrainingPipeline resource to be deleted.</p></li> |
| <li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.delete_custom_job"> |
| <span class="sig-name descname"><span class="pre">delete_custom_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">custom_job</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.delete_custom_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.delete_custom_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Deletes a CustomJob.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li> |
| <li><p><strong>custom_job</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The name of the CustomJob to delete.</p></li> |
| <li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_pipeline_job"> |
| <span class="sig-name descname"><span class="pre">get_pipeline_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_job</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.get_pipeline_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_pipeline_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets a PipelineJob.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li> |
| <li><p><strong>pipeline_job</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The name of the PipelineJob resource.</p></li> |
| <li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_training_pipeline"> |
| <span class="sig-name descname"><span class="pre">get_training_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_pipeline</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.get_training_pipeline"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_training_pipeline" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets a TrainingPipeline.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li> |
| <li><p><strong>training_pipeline</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The name of the TrainingPipeline resource.</p></li> |
| <li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_job"> |
| <span class="sig-name descname"><span class="pre">get_custom_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">custom_job</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.get_custom_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets a CustomJob.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li> |
| <li><p><strong>custom_job</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The name of the CustomJob to get.</p></li> |
| <li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.list_pipeline_jobs"> |
| <span class="sig-name descname"><span class="pre">list_pipeline_jobs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">page_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">page_token</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">order_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.list_pipeline_jobs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.list_pipeline_jobs" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Lists PipelineJobs in a Location.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li> |
| <li><p><strong>filter</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. Lists the PipelineJobs that match the filter expression. The |
| following fields are supported:</p> |
| <ul> |
| <li><p><code class="docutils literal notranslate"><span class="pre">pipeline_name</span></code>: Supports <code class="docutils literal notranslate"><span class="pre">=</span></code> and <code class="docutils literal notranslate"><span class="pre">!=</span></code> comparisons.</p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">display_name</span></code>: Supports <code class="docutils literal notranslate"><span class="pre">=</span></code>, <code class="docutils literal notranslate"><span class="pre">!=</span></code> comparisons, and |
| <code class="docutils literal notranslate"><span class="pre">:</span></code> wildcard.</p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">pipeline_job_user_id</span></code>: Supports <code class="docutils literal notranslate"><span class="pre">=</span></code>, <code class="docutils literal notranslate"><span class="pre">!=</span></code> |
| comparisons, and <code class="docutils literal notranslate"><span class="pre">:</span></code> wildcard. for example, can check |
| if pipeline’s display_name contains <em>step</em> by doing |
| display_name:”<em>step</em>”</p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">create_time</span></code>: Supports <code class="docutils literal notranslate"><span class="pre">=</span></code>, <code class="docutils literal notranslate"><span class="pre">!=</span></code>, <code class="docutils literal notranslate"><span class="pre"><</span></code>, <code class="docutils literal notranslate"><span class="pre">></span></code>, |
| <code class="docutils literal notranslate"><span class="pre"><=</span></code>, and <code class="docutils literal notranslate"><span class="pre">>=</span></code> comparisons. Values must be in RFC |
| 3339 format.</p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">update_time</span></code>: Supports <code class="docutils literal notranslate"><span class="pre">=</span></code>, <code class="docutils literal notranslate"><span class="pre">!=</span></code>, <code class="docutils literal notranslate"><span class="pre"><</span></code>, <code class="docutils literal notranslate"><span class="pre">></span></code>, |
| <code class="docutils literal notranslate"><span class="pre"><=</span></code>, and <code class="docutils literal notranslate"><span class="pre">>=</span></code> comparisons. Values must be in RFC |
| 3339 format.</p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">end_time</span></code>: Supports <code class="docutils literal notranslate"><span class="pre">=</span></code>, <code class="docutils literal notranslate"><span class="pre">!=</span></code>, <code class="docutils literal notranslate"><span class="pre"><</span></code>, <code class="docutils literal notranslate"><span class="pre">></span></code>, |
| <code class="docutils literal notranslate"><span class="pre"><=</span></code>, and <code class="docutils literal notranslate"><span class="pre">>=</span></code> comparisons. Values must be in RFC |
| 3339 format.</p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">labels</span></code>: Supports key-value equality and key presence.</p></li> |
| </ul> |
| <p>Filter expressions can be combined together using logical |
| operators (<code class="docutils literal notranslate"><span class="pre">AND</span></code> & <code class="docutils literal notranslate"><span class="pre">OR</span></code>). For example: |
| <code class="docutils literal notranslate"><span class="pre">pipeline_name="test"</span> <span class="pre">AND</span> <span class="pre">create_time>"2020-05-18T13:30:00Z"</span></code>.</p> |
| <p>The syntax to define filter expression is based on |
| <a class="reference external" href="https://google.aip.dev/160">https://google.aip.dev/160</a>.</p> |
| </p></li> |
| <li><p><strong>page_size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a><em> | </em><em>None</em>) – Optional. The standard list page size.</p></li> |
| <li><p><strong>page_token</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. The standard list page token. Typically obtained via |
| [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token] |
| of the previous |
| [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs] |
| call.</p></li> |
| <li><p><strong>order_by</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. A comma-separated list of fields to order by. The default |
| sort order is in ascending order. Use “desc” after a field |
| name for descending. You can have multiple order_by fields |
| provided e.g. “create_time desc, end_time”, “end_time, |
| start_time, update_time” For example, using “create_time |
| desc, end_time” will order results by create time in |
| descending order, and if there are multiple jobs having the |
| same create time, order them by the end time in ascending |
| order. if order_by is not specified, it will order by |
| default order is create time in descending order. Supported |
| fields:</p> |
| <ul> |
| <li><p><code class="docutils literal notranslate"><span class="pre">create_time</span></code></p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">update_time</span></code></p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">end_time</span></code></p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">start_time</span></code></p></li> |
| </ul> |
| </p></li> |
| <li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.list_training_pipelines"> |
| <span class="sig-name descname"><span class="pre">list_training_pipelines</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">page_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">page_token</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">read_mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.list_training_pipelines"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.list_training_pipelines" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Lists TrainingPipelines in a Location.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li> |
| <li><p><strong>filter</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. The standard list filter. Supported fields:</p> |
| <ul> |
| <li><p><code class="docutils literal notranslate"><span class="pre">display_name</span></code> supports = and !=.</p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">state</span></code> supports = and !=.</p></li> |
| </ul> |
| <p>Some examples of using the filter are:</p> |
| <ul> |
| <li><p><code class="docutils literal notranslate"><span class="pre">state="PIPELINE_STATE_SUCCEEDED"</span> <span class="pre">AND</span> <span class="pre">display_name="my_pipeline"</span></code></p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">state="PIPELINE_STATE_RUNNING"</span> <span class="pre">OR</span> <span class="pre">display_name="my_pipeline"</span></code></p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">NOT</span> <span class="pre">display_name="my_pipeline"</span></code></p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">state="PIPELINE_STATE_FAILED"</span></code></p></li> |
| </ul> |
| </p></li> |
| <li><p><strong>page_size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a><em> | </em><em>None</em>) – Optional. The standard list page size.</p></li> |
| <li><p><strong>page_token</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. The standard list page token. Typically obtained via |
| [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] |
| of the previous |
| [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] |
| call.</p></li> |
| <li><p><strong>read_mask</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. Mask specifying which fields to read.</p></li> |
| <li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.list_custom_jobs"> |
| <span class="sig-name descname"><span class="pre">list_custom_jobs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">page_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">page_token</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">read_mask</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.html#CustomJobHook.list_custom_jobs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.list_custom_jobs" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Lists CustomJobs in a Location.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li> |
| <li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li> |
| <li><p><strong>filter</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – <p>Optional. The standard list filter. Supported fields:</p> |
| <ul> |
| <li><p><code class="docutils literal notranslate"><span class="pre">display_name</span></code> supports = and !=.</p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">state</span></code> supports = and !=.</p></li> |
| </ul> |
| <p>Some examples of using the filter are:</p> |
| <ul> |
| <li><p><code class="docutils literal notranslate"><span class="pre">state="PIPELINE_STATE_SUCCEEDED"</span> <span class="pre">AND</span> <span class="pre">display_name="my_pipeline"</span></code></p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">state="PIPELINE_STATE_RUNNING"</span> <span class="pre">OR</span> <span class="pre">display_name="my_pipeline"</span></code></p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">NOT</span> <span class="pre">display_name="my_pipeline"</span></code></p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">state="PIPELINE_STATE_FAILED"</span></code></p></li> |
| </ul> |
| </p></li> |
| <li><p><strong>page_size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a><em> | </em><em>None</em>) – Optional. The standard list page size.</p></li> |
| <li><p><strong>page_token</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. The standard list page token. Typically obtained via |
| [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] |
| of the previous |
| [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] |
| call.</p></li> |
| <li><p><strong>read_mask</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. Mask specifying which fields to read.</p></li> |
| <li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| </dd></dl> |
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| <li><a class="reference internal" href="#module-contents">Module Contents</a><ul> |
| <li><a class="reference internal" href="#classes">Classes</a><ul> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook"><code class="docutils literal notranslate"><span class="pre">CustomJobHook</span></code></a><ul> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_pipeline_service_client"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.get_pipeline_service_client()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_job_service_client"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.get_job_service_client()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_container_training_job"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.get_custom_container_training_job()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_python_package_training_job"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.get_custom_python_package_training_job()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_training_job"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.get_custom_training_job()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.extract_model_id"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.extract_model_id()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.extract_training_id"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.extract_training_id()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.wait_for_operation"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.wait_for_operation()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_job"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.cancel_job()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_pipeline_job"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.cancel_pipeline_job()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_training_pipeline"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.cancel_training_pipeline()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_custom_job"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.cancel_custom_job()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_pipeline_job"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.create_pipeline_job()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_training_pipeline"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.create_training_pipeline()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_job"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.create_custom_job()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_container_training_job"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.create_custom_container_training_job()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_python_package_training_job"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.create_custom_python_package_training_job()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_training_job"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.create_custom_training_job()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.delete_pipeline_job"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.delete_pipeline_job()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.delete_training_pipeline"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.delete_training_pipeline()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.delete_custom_job"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.delete_custom_job()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_pipeline_job"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.get_pipeline_job()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_training_pipeline"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.get_training_pipeline()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_job"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.get_custom_job()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.list_pipeline_jobs"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.list_pipeline_jobs()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.list_training_pipelines"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.list_training_pipelines()</span></code></a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.list_custom_jobs"><code class="docutils literal notranslate"><span class="pre">CustomJobHook.list_custom_jobs()</span></code></a></li> |
| </ul> |
| </li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook">CustomJobHook</a><ul> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_pipeline_service_client">get_pipeline_service_client</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_job_service_client">get_job_service_client</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_container_training_job">get_custom_container_training_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_python_package_training_job">get_custom_python_package_training_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_training_job">get_custom_training_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.extract_model_id">extract_model_id</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.extract_training_id">extract_training_id</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.wait_for_operation">wait_for_operation</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_job">cancel_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_pipeline_job">cancel_pipeline_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_training_pipeline">cancel_training_pipeline</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.cancel_custom_job">cancel_custom_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_pipeline_job">create_pipeline_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_training_pipeline">create_training_pipeline</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_job">create_custom_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_container_training_job">create_custom_container_training_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_python_package_training_job">create_custom_python_package_training_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.create_custom_training_job">create_custom_training_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.delete_pipeline_job">delete_pipeline_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.delete_training_pipeline">delete_training_pipeline</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.delete_custom_job">delete_custom_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_pipeline_job">get_pipeline_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_training_pipeline">get_training_pipeline</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.get_custom_job">get_custom_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.list_pipeline_jobs">list_pipeline_jobs</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.list_training_pipelines">list_training_pipelines</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.custom_job.CustomJobHook.list_custom_jobs">list_custom_jobs</a></li> |
| </ul> |
| </li> |
| </ul> |
| </li> |
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