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| <blockquote> |
| <div></div></blockquote> |
| <div class="section" id="google-cloud-ai-platform-operators"> |
| <h1>Google Cloud AI Platform Operators<a class="headerlink" href="#google-cloud-ai-platform-operators" title="Permalink to this headline">¶</a></h1> |
| <p><a class="reference external" href="https://cloud.google.com/ai-platform/">Google Cloud AI Platform</a> (formerly known |
| as ML Engine) can be used to train machine learning models at scale, host trained models |
| in the cloud, and use models to make predictions for new data. AI Platform is a collection |
| of tools for training, evaluating, and tuning machine learning models. AI Platform can also |
| be used to deploy a trained model, make predictions, and manage various model versions.</p> |
| <div class="contents local topic" id="contents"> |
| <ul class="simple"> |
| <li><p><a class="reference internal" href="#prerequisite-tasks" id="id1">Prerequisite tasks</a></p></li> |
| <li><p><a class="reference internal" href="#launching-a-job" id="id2">Launching a Job</a></p></li> |
| <li><p><a class="reference internal" href="#creating-a-model" id="id3">Creating a model</a></p></li> |
| <li><p><a class="reference internal" href="#getting-a-model" id="id4">Getting a model</a></p></li> |
| <li><p><a class="reference internal" href="#creating-model-versions" id="id5">Creating model versions</a></p></li> |
| <li><p><a class="reference internal" href="#managing-model-versions" id="id6">Managing model versions</a></p></li> |
| <li><p><a class="reference internal" href="#making-predictions" id="id7">Making predictions</a></p></li> |
| <li><p><a class="reference internal" href="#cleaning-up" id="id8">Cleaning up</a></p></li> |
| <li><p><a class="reference internal" href="#evaluating-a-model" id="id9">Evaluating a model</a></p></li> |
| <li><p><a class="reference internal" href="#reference" id="id10">Reference</a></p></li> |
| </ul> |
| </div> |
| <div class="section" id="prerequisite-tasks"> |
| <h2><a class="toc-backref" href="#id1">Prerequisite tasks</a><a class="headerlink" href="#prerequisite-tasks" title="Permalink to this headline">¶</a></h2> |
| <blockquote> |
| <div></div></blockquote> |
| <p>To use these operators, you must do a few things:</p> |
| <blockquote> |
| <div><ul> |
| <li><p>Select or create a Cloud Platform project using the <a class="reference external" href="https://console.cloud.google.com/project">Cloud Console</a>.</p></li> |
| <li><p>Enable billing for your project, as described in the <a class="reference external" href="https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project">Google Cloud documentation</a>.</p></li> |
| <li><p>Enable the API, as described in the <a class="reference external" href="https://cloud.google.com/apis/docs/enable-disable-apis">Cloud Console documentation</a>.</p></li> |
| <li><p>Install API libraries via <strong>pip</strong>.</p> |
| <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip install <span class="s1">'apache-airflow[google]'</span> |
| </pre></div> |
| </div> |
| <p>Detailed information is available for <a class="reference external" href="/docs/apache-airflow/stable/installation.html" title="(in apache-airflow v2.0.0)"><span class="xref std std-doc">Installation</span></a>.</p> |
| </li> |
| <li><p><a class="reference internal" href="../../connections/gcp.html"><span class="doc">Setup a Google Cloud Connection</span></a>.</p></li> |
| </ul> |
| </div></blockquote> |
| </div> |
| <div class="section" id="launching-a-job"> |
| <span id="howto-operator-mlenginestarttrainingjoboperator"></span><h2><a class="toc-backref" href="#id2">Launching a Job</a><a class="headerlink" href="#launching-a-job" title="Permalink to this headline">¶</a></h2> |
| <p>To start a machine learning operation with AI Platform, you must launch a training job. |
| This creates a virtual machine that can run code specified in the trainer file, which |
| contains the main application code. A job can be initiated with the |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator" title="airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">MLEngineStartTrainingJobOperator</span></code></a>.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_mlengine.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_mlengine.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">training</span> <span class="o">=</span> <span class="n">MLEngineStartTrainingJobOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"training"</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="n">PROJECT_ID</span><span class="p">,</span> |
| <span class="n">region</span><span class="o">=</span><span class="s2">"us-central1"</span><span class="p">,</span> |
| <span class="n">job_id</span><span class="o">=</span><span class="s2">"training-job-{{ ts_nodash }}-{{ params.model_name }}"</span><span class="p">,</span> |
| <span class="n">runtime_version</span><span class="o">=</span><span class="s2">"1.15"</span><span class="p">,</span> |
| <span class="n">python_version</span><span class="o">=</span><span class="s2">"3.7"</span><span class="p">,</span> |
| <span class="n">job_dir</span><span class="o">=</span><span class="n">JOB_DIR</span><span class="p">,</span> |
| <span class="n">package_uris</span><span class="o">=</span><span class="p">[</span><span class="n">TRAINER_URI</span><span class="p">],</span> |
| <span class="n">training_python_module</span><span class="o">=</span><span class="n">TRAINER_PY_MODULE</span><span class="p">,</span> |
| <span class="n">training_args</span><span class="o">=</span><span class="p">[],</span> |
| <span class="n">labels</span><span class="o">=</span><span class="p">{</span><span class="s2">"job_type"</span><span class="p">:</span> <span class="s2">"training"</span><span class="p">},</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="creating-a-model"> |
| <span id="howto-operator-mlenginecreatemodeloperator"></span><h2><a class="toc-backref" href="#id3">Creating a model</a><a class="headerlink" href="#creating-a-model" title="Permalink to this headline">¶</a></h2> |
| <p>A model is a container that can hold multiple model versions. A new model can be created through the |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateModelOperator" title="airflow.providers.google.cloud.operators.mlengine.MLEngineCreateModelOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">MLEngineCreateModelOperator</span></code></a>. |
| The <code class="docutils literal notranslate"><span class="pre">model</span></code> field should be defined with a dictionary containing the information about the model. |
| <code class="docutils literal notranslate"><span class="pre">name</span></code> is a required field in this dictionary.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_mlengine.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_mlengine.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">create_model</span> <span class="o">=</span> <span class="n">MLEngineCreateModelOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"create-model"</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="n">PROJECT_ID</span><span class="p">,</span> |
| <span class="n">model</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"name"</span><span class="p">:</span> <span class="n">MODEL_NAME</span><span class="p">,</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="getting-a-model"> |
| <span id="howto-operator-mlenginegetmodeloperator"></span><h2><a class="toc-backref" href="#id4">Getting a model</a><a class="headerlink" href="#getting-a-model" title="Permalink to this headline">¶</a></h2> |
| <p>The <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineGetModelOperator" title="airflow.providers.google.cloud.operators.mlengine.MLEngineGetModelOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">MLEngineGetModelOperator</span></code></a> |
| can be used to obtain a model previously created. To obtain the correct model, <code class="docutils literal notranslate"><span class="pre">model_name</span></code> |
| must be defined in the operator.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_mlengine.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_mlengine.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">get_model</span> <span class="o">=</span> <span class="n">MLEngineGetModelOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"get-model"</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="n">PROJECT_ID</span><span class="p">,</span> |
| <span class="n">model_name</span><span class="o">=</span><span class="n">MODEL_NAME</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>You can use <a class="reference external" href="/docs/apache-airflow/stable/concepts.html#jinja-templating" title="(in apache-airflow v2.0.0)"><span class="xref std std-ref">Jinja templating</span></a> with the <code class="docutils literal notranslate"><span class="pre">project_id</span></code> and <code class="docutils literal notranslate"><span class="pre">model</span></code> |
| fields to dynamically determine their values. The result are saved to <a class="reference external" href="/docs/apache-airflow/stable/concepts.html#concepts-xcom" title="(in apache-airflow v2.0.0)"><span class="xref std std-ref">XCom</span></a>, |
| allowing them to be used by other operators. In this case, the |
| <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/operators/bash/index.html#airflow.operators.bash.BashOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BashOperator</span></code></a> is used to print the model information.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_mlengine.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_mlengine.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">get_model_result</span> <span class="o">=</span> <span class="n">BashOperator</span><span class="p">(</span> |
| <span class="n">bash_command</span><span class="o">=</span><span class="s2">"echo </span><span class="se">\"</span><span class="s2">{{ task_instance.xcom_pull('get-model') }}</span><span class="se">\"</span><span class="s2">"</span><span class="p">,</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"get-model-result"</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="creating-model-versions"> |
| <span id="howto-operator-mlenginecreateversionoperator"></span><h2><a class="toc-backref" href="#id5">Creating model versions</a><a class="headerlink" href="#creating-model-versions" title="Permalink to this headline">¶</a></h2> |
| <p>A model version is a subset of the model container where the code runs. A new version of the model can be created |
| through the <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator" title="airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">MLEngineCreateVersionOperator</span></code></a>. |
| The model must be specified by <code class="docutils literal notranslate"><span class="pre">model_name</span></code>, and the <code class="docutils literal notranslate"><span class="pre">version</span></code> parameter should contain a dictionary of |
| all the information about the version. Within the <code class="docutils literal notranslate"><span class="pre">version</span></code> parameter’s dictionary, the <code class="docutils literal notranslate"><span class="pre">name</span></code> field is |
| required.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_mlengine.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_mlengine.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">create_version</span> <span class="o">=</span> <span class="n">MLEngineCreateVersionOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"create-version"</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="n">PROJECT_ID</span><span class="p">,</span> |
| <span class="n">model_name</span><span class="o">=</span><span class="n">MODEL_NAME</span><span class="p">,</span> |
| <span class="n">version</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"name"</span><span class="p">:</span> <span class="s2">"v1"</span><span class="p">,</span> |
| <span class="s2">"description"</span><span class="p">:</span> <span class="s2">"First-version"</span><span class="p">,</span> |
| <span class="s2">"deployment_uri"</span><span class="p">:</span> <span class="sa">f</span><span class="s1">'</span><span class="si">{</span><span class="n">JOB_DIR</span><span class="si">}</span><span class="s1">/keras_export/'</span><span class="p">,</span> |
| <span class="s2">"runtime_version"</span><span class="p">:</span> <span class="s2">"1.15"</span><span class="p">,</span> |
| <span class="s2">"machineType"</span><span class="p">:</span> <span class="s2">"mls1-c1-m2"</span><span class="p">,</span> |
| <span class="s2">"framework"</span><span class="p">:</span> <span class="s2">"TENSORFLOW"</span><span class="p">,</span> |
| <span class="s2">"pythonVersion"</span><span class="p">:</span> <span class="s2">"3.7"</span><span class="p">,</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>The <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator" title="airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">MLEngineCreateVersionOperator</span></code></a> |
| can also be used to create more versions with varying parameters.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_mlengine.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_mlengine.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">create_version_2</span> <span class="o">=</span> <span class="n">MLEngineCreateVersionOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"create-version-2"</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="n">PROJECT_ID</span><span class="p">,</span> |
| <span class="n">model_name</span><span class="o">=</span><span class="n">MODEL_NAME</span><span class="p">,</span> |
| <span class="n">version</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"name"</span><span class="p">:</span> <span class="s2">"v2"</span><span class="p">,</span> |
| <span class="s2">"description"</span><span class="p">:</span> <span class="s2">"Second version"</span><span class="p">,</span> |
| <span class="s2">"deployment_uri"</span><span class="p">:</span> <span class="n">SAVED_MODEL_PATH</span><span class="p">,</span> |
| <span class="s2">"runtime_version"</span><span class="p">:</span> <span class="s2">"1.15"</span><span class="p">,</span> |
| <span class="s2">"machineType"</span><span class="p">:</span> <span class="s2">"mls1-c1-m2"</span><span class="p">,</span> |
| <span class="s2">"framework"</span><span class="p">:</span> <span class="s2">"TENSORFLOW"</span><span class="p">,</span> |
| <span class="s2">"pythonVersion"</span><span class="p">:</span> <span class="s2">"3.7"</span><span class="p">,</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="managing-model-versions"> |
| <span id="howto-operator-mlenginelistversionsoperator"></span><span id="howto-operator-mlenginesetdefaultversionoperator"></span><h2><a class="toc-backref" href="#id6">Managing model versions</a><a class="headerlink" href="#managing-model-versions" title="Permalink to this headline">¶</a></h2> |
| <p>By default, the model code will run using the default model version. You can set the model version through the |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator" title="airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">MLEngineSetDefaultVersionOperator</span></code></a> |
| by specifying the <code class="docutils literal notranslate"><span class="pre">model_name</span></code> and <code class="docutils literal notranslate"><span class="pre">version_name</span></code> parameters.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_mlengine.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_mlengine.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">set_defaults_version</span> <span class="o">=</span> <span class="n">MLEngineSetDefaultVersionOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"set-default-version"</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="n">PROJECT_ID</span><span class="p">,</span> |
| <span class="n">model_name</span><span class="o">=</span><span class="n">MODEL_NAME</span><span class="p">,</span> |
| <span class="n">version_name</span><span class="o">=</span><span class="s2">"v2"</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>To list the model versions available, use the |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator" title="airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">MLEngineListVersionsOperator</span></code></a> |
| while specifying the <code class="docutils literal notranslate"><span class="pre">model_name</span></code> parameter.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_mlengine.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_mlengine.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">list_version</span> <span class="o">=</span> <span class="n">MLEngineListVersionsOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"list-version"</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="n">PROJECT_ID</span><span class="p">,</span> |
| <span class="n">model_name</span><span class="o">=</span><span class="n">MODEL_NAME</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>You can use <a class="reference external" href="/docs/apache-airflow/stable/concepts.html#jinja-templating" title="(in apache-airflow v2.0.0)"><span class="xref std std-ref">Jinja templating</span></a> with the <code class="docutils literal notranslate"><span class="pre">project_id</span></code> and <code class="docutils literal notranslate"><span class="pre">model</span></code> |
| fields to dynamically determine their values. The result are saved to <a class="reference external" href="/docs/apache-airflow/stable/concepts.html#concepts-xcom" title="(in apache-airflow v2.0.0)"><span class="xref std std-ref">XCom</span></a>, |
| allowing them to be used by other operators. In this case, the |
| <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/operators/bash/index.html#airflow.operators.bash.BashOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BashOperator</span></code></a> is used to print the version information.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_mlengine.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_mlengine.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">list_version_result</span> <span class="o">=</span> <span class="n">BashOperator</span><span class="p">(</span> |
| <span class="n">bash_command</span><span class="o">=</span><span class="s2">"echo </span><span class="se">\"</span><span class="s2">{{ task_instance.xcom_pull('list-version') }}</span><span class="se">\"</span><span class="s2">"</span><span class="p">,</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"list-version-result"</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="making-predictions"> |
| <span id="howto-operator-mlenginestartbatchpredictionjoboperator"></span><h2><a class="toc-backref" href="#id7">Making predictions</a><a class="headerlink" href="#making-predictions" title="Permalink to this headline">¶</a></h2> |
| <p>A Google Cloud AI Platform prediction job can be started with the |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineStartBatchPredictionJobOperator" title="airflow.providers.google.cloud.operators.mlengine.MLEngineStartBatchPredictionJobOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">MLEngineStartBatchPredictionJobOperator</span></code></a>. |
| For specifying the model origin, you need to provide either the <code class="docutils literal notranslate"><span class="pre">model_name</span></code>, <code class="docutils literal notranslate"><span class="pre">uri</span></code>, or <code class="docutils literal notranslate"><span class="pre">model_name</span></code> and |
| <code class="docutils literal notranslate"><span class="pre">version_name</span></code>. If you do not provide the <code class="docutils literal notranslate"><span class="pre">version_name</span></code>, the operator will use the default model version.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_mlengine.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_mlengine.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">prediction</span> <span class="o">=</span> <span class="n">MLEngineStartBatchPredictionJobOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"prediction"</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="n">PROJECT_ID</span><span class="p">,</span> |
| <span class="n">job_id</span><span class="o">=</span><span class="s2">"prediction-{{ ts_nodash }}-{{ params.model_name }}"</span><span class="p">,</span> |
| <span class="n">region</span><span class="o">=</span><span class="s2">"us-central1"</span><span class="p">,</span> |
| <span class="n">model_name</span><span class="o">=</span><span class="n">MODEL_NAME</span><span class="p">,</span> |
| <span class="n">data_format</span><span class="o">=</span><span class="s2">"TEXT"</span><span class="p">,</span> |
| <span class="n">input_paths</span><span class="o">=</span><span class="p">[</span><span class="n">PREDICTION_INPUT</span><span class="p">],</span> |
| <span class="n">output_path</span><span class="o">=</span><span class="n">PREDICTION_OUTPUT</span><span class="p">,</span> |
| <span class="n">labels</span><span class="o">=</span><span class="p">{</span><span class="s2">"job_type"</span><span class="p">:</span> <span class="s2">"prediction"</span><span class="p">},</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="cleaning-up"> |
| <span id="howto-operator-mlenginedeletemodeloperator"></span><span id="howto-operator-mlenginedeleteversionoperator"></span><h2><a class="toc-backref" href="#id8">Cleaning up</a><a class="headerlink" href="#cleaning-up" title="Permalink to this headline">¶</a></h2> |
| <p>A model version can be deleted with the |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator" title="airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">MLEngineDeleteVersionOperator</span></code></a> by |
| the <code class="docutils literal notranslate"><span class="pre">version_name</span></code> and <code class="docutils literal notranslate"><span class="pre">model_name</span></code> parameters.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_mlengine.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_mlengine.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">delete_version</span> <span class="o">=</span> <span class="n">MLEngineDeleteVersionOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"delete-version"</span><span class="p">,</span> <span class="n">project_id</span><span class="o">=</span><span class="n">PROJECT_ID</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="n">MODEL_NAME</span><span class="p">,</span> <span class="n">version_name</span><span class="o">=</span><span class="s2">"v1"</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>You can also delete a model with the |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteModelOperator" title="airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteModelOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">MLEngineDeleteModelOperator</span></code></a> |
| by providing the <code class="docutils literal notranslate"><span class="pre">model_name</span></code> parameter.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_mlengine.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_mlengine.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">delete_model</span> <span class="o">=</span> <span class="n">MLEngineDeleteModelOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"delete-model"</span><span class="p">,</span> <span class="n">project_id</span><span class="o">=</span><span class="n">PROJECT_ID</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="n">MODEL_NAME</span><span class="p">,</span> <span class="n">delete_contents</span><span class="o">=</span><span class="kc">True</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="evaluating-a-model"> |
| <h2><a class="toc-backref" href="#id9">Evaluating a model</a><a class="headerlink" href="#evaluating-a-model" title="Permalink to this headline">¶</a></h2> |
| <p>To evaluate a prediction and model, specify a metric function to generate a summary and customize |
| the evaluation of the model. This function receives a dictionary derived from a json in the batch |
| prediction result, then returns a tuple of metrics.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_mlengine.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_mlengine.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">get_metric_fn_and_keys</span><span class="p">():</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Gets metric function and keys used to generate summary</span> |
| <span class="sd"> """</span> |
| |
| <span class="k">def</span> <span class="nf">normalize_value</span><span class="p">(</span><span class="n">inst</span><span class="p">:</span> <span class="n">Dict</span><span class="p">):</span> |
| <span class="n">val</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">inst</span><span class="p">[</span><span class="s1">'dense_4'</span><span class="p">][</span><span class="mi">0</span><span class="p">])</span> |
| <span class="k">return</span> <span class="nb">tuple</span><span class="p">([</span><span class="n">val</span><span class="p">])</span> <span class="c1"># returns a tuple.</span> |
| |
| <span class="k">return</span> <span class="n">normalize_value</span><span class="p">,</span> <span class="p">[</span><span class="s1">'val'</span><span class="p">]</span> <span class="c1"># key order must match.</span> |
| |
| </pre></div> |
| </div> |
| </div> |
| <p>To evaluate a prediction and model, it’s useful to have a function to validate the summary result. |
| This function receives a dictionary of the averaged metrics the function above generated. It then |
| raises an exception if a task fails or should not proceed.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_mlengine.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_mlengine.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">validate_err_and_count</span><span class="p">(</span><span class="n">summary</span><span class="p">:</span> <span class="n">Dict</span><span class="p">)</span> <span class="o">-></span> <span class="n">Dict</span><span class="p">:</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Validate summary result</span> |
| <span class="sd"> """</span> |
| <span class="k">if</span> <span class="n">summary</span><span class="p">[</span><span class="s1">'val'</span><span class="p">]</span> <span class="o">></span> <span class="mi">1</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Too high val>1; summary=</span><span class="si">{</span><span class="n">summary</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span> |
| <span class="k">if</span> <span class="n">summary</span><span class="p">[</span><span class="s1">'val'</span><span class="p">]</span> <span class="o"><</span> <span class="mi">0</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Too low val<0; summary=</span><span class="si">{</span><span class="n">summary</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span> |
| <span class="k">if</span> <span class="n">summary</span><span class="p">[</span><span class="s1">'count'</span><span class="p">]</span> <span class="o">!=</span> <span class="mi">20</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Invalid value val != 20; summary=</span><span class="si">{</span><span class="n">summary</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span> |
| <span class="k">return</span> <span class="n">summary</span> |
| |
| </pre></div> |
| </div> |
| </div> |
| <p>Prediction results and a model summary can be generated through a function such as |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/utils/mlengine_operator_utils/index.html#airflow.providers.google.cloud.utils.mlengine_operator_utils.create_evaluate_ops" title="airflow.providers.google.cloud.utils.mlengine_operator_utils.create_evaluate_ops"><code class="xref py py-class docutils literal notranslate"><span class="pre">create_evaluate_ops</span></code></a>. |
| It makes predictions using the specified inputs and then summarizes and validates the result. The |
| functions created above should be passed in through the <code class="docutils literal notranslate"><span class="pre">metric_fn_and_keys</span></code> and <code class="docutils literal notranslate"><span class="pre">validate_fn</span></code> fields.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_mlengine.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_mlengine.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">evaluate_prediction</span><span class="p">,</span> <span class="n">evaluate_summary</span><span class="p">,</span> <span class="n">evaluate_validation</span> <span class="o">=</span> <span class="n">mlengine_operator_utils</span><span class="o">.</span><span class="n">create_evaluate_ops</span><span class="p">(</span> |
| <span class="n">task_prefix</span><span class="o">=</span><span class="s2">"evaluate-ops"</span><span class="p">,</span> |
| <span class="n">data_format</span><span class="o">=</span><span class="s2">"TEXT"</span><span class="p">,</span> |
| <span class="n">input_paths</span><span class="o">=</span><span class="p">[</span><span class="n">PREDICTION_INPUT</span><span class="p">],</span> |
| <span class="n">prediction_path</span><span class="o">=</span><span class="n">PREDICTION_OUTPUT</span><span class="p">,</span> |
| <span class="n">metric_fn_and_keys</span><span class="o">=</span><span class="n">get_metric_fn_and_keys</span><span class="p">(),</span> |
| <span class="n">validate_fn</span><span class="o">=</span><span class="n">validate_err_and_count</span><span class="p">,</span> |
| <span class="n">batch_prediction_job_id</span><span class="o">=</span><span class="s2">"evaluate-ops-{{ ts_nodash }}-{{ params.model_name }}"</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="n">PROJECT_ID</span><span class="p">,</span> |
| <span class="n">region</span><span class="o">=</span><span class="s2">"us-central1"</span><span class="p">,</span> |
| <span class="n">dataflow_options</span><span class="o">=</span><span class="p">{</span> |
| <span class="s1">'project'</span><span class="p">:</span> <span class="n">PROJECT_ID</span><span class="p">,</span> |
| <span class="s1">'tempLocation'</span><span class="p">:</span> <span class="n">SUMMARY_TMP</span><span class="p">,</span> |
| <span class="s1">'stagingLocation'</span><span class="p">:</span> <span class="n">SUMMARY_STAGING</span><span class="p">,</span> |
| <span class="p">},</span> |
| <span class="n">model_name</span><span class="o">=</span><span class="n">MODEL_NAME</span><span class="p">,</span> |
| <span class="n">version_name</span><span class="o">=</span><span class="s2">"v1"</span><span class="p">,</span> |
| <span class="n">py_interpreter</span><span class="o">=</span><span class="s2">"python3"</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
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