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| <div class="section" id="module-airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job"> |
| <span id="airflow-providers-google-cloud-hooks-vertex-ai-hyperparameter-tuning-job"></span><h1><a class="reference internal" href="#module-airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job" title="airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job"><code class="xref py py-mod docutils literal notranslate"><span class="pre">airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job</span></code></a><a class="headerlink" href="#module-airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job" title="Permalink to this headline">¶</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 headline">¶</a></h2> |
| <div class="section" id="classes"> |
| <h3>Classes<a class="headerlink" href="#classes" title="Permalink to this headline">¶</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.hyperparameter_tuning_job.HyperparameterTuningJobHook" title="airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook"><code class="xref py py-obj docutils literal notranslate"><span class="pre">HyperparameterTuningJobHook</span></code></a></p></td> |
| <td><p>Hook for Google Cloud Vertex AI Hyperparameter Tuning 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.hyperparameter_tuning_job.HyperparameterTuningJobHook"> |
| <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.hyperparameter_tuning_job.</span></span><span class="sig-name descname"><span class="pre">HyperparameterTuningJobHook</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/hyperparameter_tuning_job.html#HyperparameterTuningJobHook"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook" 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 Hyperparameter Tuning 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.hyperparameter_tuning_job.HyperparameterTuningJobHook.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">self</span></span></em>, <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/hyperparameter_tuning_job.html#HyperparameterTuningJobHook.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.hyperparameter_tuning_job.HyperparameterTuningJobHook.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.hyperparameter_tuning_job.HyperparameterTuningJobHook.get_hyperparameter_tuning_job_object"> |
| <span class="sig-name descname"><span class="pre">get_hyperparameter_tuning_job_object</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</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">custom_job</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric_spec</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameter_spec</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_trial_count</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel_trial_count</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_failed_trial_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">search_algorithm</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">measurement_selection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'best'</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">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><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/hyperparameter_tuning_job.html#HyperparameterTuningJobHook.get_hyperparameter_tuning_job_object"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.get_hyperparameter_tuning_job_object" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns HyperparameterTuningJob 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.hyperparameter_tuning_job.HyperparameterTuningJobHook.get_custom_job_object"> |
| <span class="sig-name descname"><span class="pre">get_custom_job_object</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</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">worker_pool_specs</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">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">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/hyperparameter_tuning_job.html#HyperparameterTuningJobHook.get_custom_job_object"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.get_custom_job_object" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns CustomJob 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.hyperparameter_tuning_job.HyperparameterTuningJobHook.extract_hyperparameter_tuning_job_id"> |
| <em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">extract_hyperparameter_tuning_job_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/hyperparameter_tuning_job.html#HyperparameterTuningJobHook.extract_hyperparameter_tuning_job_id"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.extract_hyperparameter_tuning_job_id" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns unique id of the hyperparameter_tuning_job.</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.hyperparameter_tuning_job.HyperparameterTuningJobHook.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">self</span></span></em>, <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/hyperparameter_tuning_job.html#HyperparameterTuningJobHook.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.hyperparameter_tuning_job.HyperparameterTuningJobHook.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.hyperparameter_tuning_job.HyperparameterTuningJobHook.cancel_hyperparameter_tuning_job"> |
| <span class="sig-name descname"><span class="pre">cancel_hyperparameter_tuning_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/hyperparameter_tuning_job.html#HyperparameterTuningJobHook.cancel_hyperparameter_tuning_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.cancel_hyperparameter_tuning_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Cancel HyperparameterTuningJob</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.hyperparameter_tuning_job.HyperparameterTuningJobHook.create_hyperparameter_tuning_job"> |
| <span class="sig-name descname"><span class="pre">create_hyperparameter_tuning_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <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">metric_spec</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameter_spec</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_trial_count</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel_trial_count</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">worker_pool_specs</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">custom_job_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">custom_job_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">max_failed_trial_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">search_algorithm</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">measurement_selection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'best'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hyperparameter_tuning_job_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">hyperparameter_tuning_job_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">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">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">restart_job_on_worker_restart</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enable_web_access</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</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/hyperparameter_tuning_job.html#HyperparameterTuningJobHook.create_hyperparameter_tuning_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.create_hyperparameter_tuning_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Create a HyperparameterTuningJob.</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>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 the HyperparameterTuningJob. The name can be |
| up to 128 characters long and can be consist of any UTF-8 characters.</p></li> |
| <li><p><strong>metric_spec</strong> (<em>Dict</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><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>) -- Required. Dictionary representing metrics to optimize. The dictionary key is the |
| metric_id, which is reported by your training job, and the dictionary value is the optimization |
| goal of the metric('minimize' or 'maximize'). |
| example: metric_spec = {'loss': 'minimize', 'accuracy': 'maximize'}</p></li> |
| <li><p><strong>parameter_spec</strong> (<em>Dict</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>google.cloud.aiplatform.hyperparameter_tuning._ParameterSpec</em><em>]</em>) -- Required. Dictionary representing parameters to optimize. The dictionary key |
| is the metric_id, which is passed into your training job as a command line key word argument, and |
| the dictionary value is the parameter specification of the metric.</p></li> |
| <li><p><strong>max_trial_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>) -- Required. The desired total number of Trials.</p></li> |
| <li><p><strong>parallel_trial_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>) -- Required. The desired number of Trials to run in parallel.</p></li> |
| <li><p><strong>worker_pool_specs</strong> (<em>Union</em><em>[</em><em>List</em><em>[</em><em>Dict</em><em>]</em><em>, </em><em>List</em><em>[</em><em>google.cloud.aiplatform.gapic.WorkerPoolSpec</em><em>]</em><em>]</em>) -- Required. The spec of the worker pools including machine type and Docker |
| image. Can provided as a list of dictionaries or list of WorkerPoolSpec proto messages.</p></li> |
| <li><p><strong>base_output_dir</strong> (<em>Optional</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>) -- Optional. GCS output directory of job. If not provided a timestamped |
| directory in the staging directory will be used.</p></li> |
| <li><p><strong>custom_job_labels</strong> (<em>Optional</em><em>[</em><em>Dict</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><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>) -- Optional. The labels with user-defined metadata to organize CustomJobs. |
| Label keys and values can be no longer than 64 characters (Unicode codepoints), 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>custom_job_encryption_spec_key_name</strong> (<em>Optional</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>) -- Optional.Customer-managed encryption key name for a |
| CustomJob. If this is set, then all resources created by the CustomJob will be encrypted with the |
| provided encryption key.</p></li> |
| <li><p><strong>staging_bucket</strong> (<em>Optional</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>) -- Optional. Bucket for produced custom job artifacts. Overrides staging_bucket |
| set in aiplatform.init.</p></li> |
| <li><p><strong>max_failed_trial_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>) -- Optional. The number of failed Trials that need to be seen before |
| failing the HyperparameterTuningJob. If set to 0, Vertex AI decides how many Trials must fail |
| before the whole job fails.</p></li> |
| <li><p><strong>search_algorithm</strong> (<em>Optional</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>) -- <p>The search algorithm specified for the Study. Accepts one of the following: |
| <cite>None</cite> - If you do not specify an algorithm, your job uses the default Vertex AI algorithm. The |
| default algorithm applies Bayesian optimization to arrive at the optimal solution with a more |
| effective search over the parameter space.</p> |
| <p>'grid' - A simple grid search within the feasible space. This option is particularly useful if |
| you want to specify a quantity of trials that is greater than the number of points in the |
| feasible space. In such cases, if you do not specify a grid search, the Vertex AI default |
| algorithm may generate duplicate suggestions. To use grid search, all parameter specs must be of |
| type <cite>IntegerParameterSpec</cite>, <cite>CategoricalParameterSpace</cite>, or <cite>DiscreteParameterSpec</cite>.</p> |
| <p>'random' - A simple random search within the feasible space.</p> |
| </p></li> |
| <li><p><strong>measurement_selection</strong> (<em>Optional</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>) -- This indicates which measurement to use if/when the service |
| automatically selects the final measurement from previously reported intermediate measurements. |
| Accepts: 'best', 'last' |
| Choose this based on two considerations: |
| A) Do you expect your measurements to monotonically improve? If so, choose 'last'. On the other |
| hand, if you're in a situation where your system can "over-train" and you expect the performance |
| to get better for a while but then start declining, choose 'best'. |
| B) Are your measurements significantly noisy and/or irreproducible? If so, 'best' will tend to be |
| over-optimistic, and it may be better to choose 'last'. |
| If both or neither of (A) and (B) apply, it doesn't matter which selection type is chosen.</p></li> |
| <li><p><strong>hyperparameter_tuning_job_labels</strong> (<em>Optional</em><em>[</em><em>Dict</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><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>) -- Optional. The labels with user-defined metadata to organize |
| HyperparameterTuningJobs. Label keys and values can be no longer than 64 characters (Unicode |
| codepoints), 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>hyperparameter_tuning_job_encryption_spec_key_name</strong> (<em>Optional</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>) -- Optional. Customer-managed encryption key |
| options for a HyperparameterTuningJob. If this is set, then all resources created by the |
| HyperparameterTuningJob will be encrypted with the provided encryption key.</p></li> |
| <li><p><strong>service_account</strong> (<em>Optional</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>) -- Optional. 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> (<em>Optional</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>) -- Optional. The full name of the Compute Engine network to which the job should be |
| peered. For example, projects/12345/global/networks/myVPC. 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>timeout</strong> (<em>Optional</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>) -- The maximum job running time in seconds. The default is 7 days.</p></li> |
| <li><p><strong>restart_job_on_worker_restart</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.10)"><em>bool</em></a>) -- Restarts the entire CustomJob if a worker gets restarted. This |
| feature can be used by distributed training jobs that are not resilient to workers leaving and |
| joining a job.</p></li> |
| <li><p><strong>enable_web_access</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.10)"><em>bool</em></a>) -- Whether you want Vertex AI to enable interactive shell access to training |
| containers. <a class="reference external" href="https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell">https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell</a></p></li> |
| <li><p><strong>tensorboard</strong> (<em>Optional</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>) -- Optional. The name of a Vertex AI |
| [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to which this CustomJob will |
| upload Tensorboard logs. Format: |
| <code class="docutils literal notranslate"><span class="pre">projects/{project}/locations/{location}/tensorboards/{tensorboard}</span></code> The training script should |
| write Tensorboard to following Vertex AI environment variable: AIP_TENSORBOARD_LOG_DIR |
| <cite>service_account</cite> is required with provided <cite>tensorboard</cite>. 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> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.10)"><em>bool</em></a>) -- Whether to execute this method synchronously. If False, this method will unblock and it |
| will be executed in a concurrent Future.</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.hyperparameter_tuning_job.HyperparameterTuningJobHook.get_hyperparameter_tuning_job"> |
| <span class="sig-name descname"><span class="pre">get_hyperparameter_tuning_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <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">hyperparameter_tuning_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/hyperparameter_tuning_job.html#HyperparameterTuningJobHook.get_hyperparameter_tuning_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.get_hyperparameter_tuning_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets a HyperparameterTuningJob</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>hyperparameter_tuning_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 HyperparameterTuningJob resource.</p></li> |
| <li><p><strong>retry</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://googleapis.dev/python/google-api-core/latest/retry.html#google.api_core.retry.Retry" title="(in google-api-core)"><em>google.api_core.retry.Retry</em></a><em>, </em><em>google.api_core.gapic_v1.method._MethodDefault</em><em>]</em>) -- Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<em>Optional</em><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>) -- The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><em>Tuple</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><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.hyperparameter_tuning_job.HyperparameterTuningJobHook.list_hyperparameter_tuning_jobs"> |
| <span class="sig-name descname"><span class="pre">list_hyperparameter_tuning_jobs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <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">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">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">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/hyperparameter_tuning_job.html#HyperparameterTuningJobHook.list_hyperparameter_tuning_jobs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.list_hyperparameter_tuning_jobs" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Lists HyperparameterTuningJobs 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> (<em>Optional</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 standard list filter. |
| Supported fields: |
| - <code class="docutils literal notranslate"><span class="pre">display_name</span></code> supports = and !=. |
| - <code class="docutils literal notranslate"><span class="pre">state</span></code> supports = and !=. |
| - <code class="docutils literal notranslate"><span class="pre">model_display_name</span></code> supports = and != |
| Some examples of using the filter are: |
| - <code class="docutils literal notranslate"><span class="pre">state="JOB_STATE_SUCCEEDED"</span> <span class="pre">AND</span> <span class="pre">display_name="my_job"</span></code> |
| - <code class="docutils literal notranslate"><span class="pre">state="JOB_STATE_RUNNING"</span> <span class="pre">OR</span> <span class="pre">display_name="my_job"</span></code> |
| - <code class="docutils literal notranslate"><span class="pre">NOT</span> <span class="pre">display_name="my_job"</span></code> |
| - <code class="docutils literal notranslate"><span class="pre">state="JOB_STATE_FAILED"</span></code></p></li> |
| <li><p><strong>page_size</strong> (<em>Optional</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>) -- The standard list page size.</p></li> |
| <li><p><strong>page_token</strong> (<em>Optional</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 standard list page token.</p></li> |
| <li><p><strong>read_mask</strong> (<em>Optional</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>) -- Mask specifying which fields to read.</p></li> |
| <li><p><strong>retry</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://googleapis.dev/python/google-api-core/latest/retry.html#google.api_core.retry.Retry" title="(in google-api-core)"><em>google.api_core.retry.Retry</em></a><em>, </em><em>google.api_core.gapic_v1.method._MethodDefault</em><em>]</em>) -- Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<em>Optional</em><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>) -- The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><em>Tuple</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><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.hyperparameter_tuning_job.HyperparameterTuningJobHook.delete_hyperparameter_tuning_job"> |
| <span class="sig-name descname"><span class="pre">delete_hyperparameter_tuning_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <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">hyperparameter_tuning_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/hyperparameter_tuning_job.html#HyperparameterTuningJobHook.delete_hyperparameter_tuning_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.delete_hyperparameter_tuning_job" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Deletes a HyperparameterTuningJob.</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>hyperparameter_tuning_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 HyperparameterTuningJob resource to be |
| deleted.</p></li> |
| <li><p><strong>retry</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://googleapis.dev/python/google-api-core/latest/retry.html#google.api_core.retry.Retry" title="(in google-api-core)"><em>google.api_core.retry.Retry</em></a><em>, </em><em>google.api_core.gapic_v1.method._MethodDefault</em><em>]</em>) -- Designation of what errors, if any, should be retried.</p></li> |
| <li><p><strong>timeout</strong> (<em>Optional</em><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>) -- The timeout for this request.</p></li> |
| <li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><em>Tuple</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><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="#"><code class="xref py py-mod docutils literal notranslate"><span class="pre">airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job</span></code></a><ul> |
| <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.hyperparameter_tuning_job.HyperparameterTuningJobHook">HyperparameterTuningJobHook</a><ul> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.get_job_service_client">get_job_service_client</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.get_hyperparameter_tuning_job_object">get_hyperparameter_tuning_job_object</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.get_custom_job_object">get_custom_job_object</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.extract_hyperparameter_tuning_job_id">extract_hyperparameter_tuning_job_id</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.wait_for_operation">wait_for_operation</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.cancel_hyperparameter_tuning_job">cancel_hyperparameter_tuning_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.create_hyperparameter_tuning_job">create_hyperparameter_tuning_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.get_hyperparameter_tuning_job">get_hyperparameter_tuning_job</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.list_hyperparameter_tuning_jobs">list_hyperparameter_tuning_jobs</a></li> |
| <li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job.HyperparameterTuningJobHook.delete_hyperparameter_tuning_job">delete_hyperparameter_tuning_job</a></li> |
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