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<div class="section" id="module-airflow.providers.google.cloud.operators.mlengine">
<span id="airflow-providers-google-cloud-operators-mlengine"></span><h1><a class="reference internal" href="#module-airflow.providers.google.cloud.operators.mlengine" title="airflow.providers.google.cloud.operators.mlengine"><code class="xref py py-mod docutils literal notranslate"><span class="pre">airflow.providers.google.cloud.operators.mlengine</span></code></a><a class="headerlink" href="#module-airflow.providers.google.cloud.operators.mlengine" title="Permalink to this headline"></a></h1>
<p><p>This module contains Google Cloud MLEngine operators.</p>
</p>
<div class="section" id="module-contents">
<h2>Module Contents<a class="headerlink" href="#module-contents" title="Permalink to this headline"></a></h2>
<dl class="py data">
<dt id="airflow.providers.google.cloud.operators.mlengine.log">
<code class="sig-prename descclassname">airflow.providers.google.cloud.operators.mlengine.</code><code class="sig-name descname">log</code><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#log"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.log" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py function">
<dt id="airflow.providers.google.cloud.operators.mlengine._normalize_mlengine_job_id">
<code class="sig-prename descclassname">airflow.providers.google.cloud.operators.mlengine.</code><code class="sig-name descname">_normalize_mlengine_job_id</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">job_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em><span class="sig-paren">)</span> &#x2192; <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#_normalize_mlengine_job_id"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine._normalize_mlengine_job_id" title="Permalink to this definition"></a></dt>
<dt>
<code class="sig-name descname">Replaces invalid MLEngine job_id characters with '_'.</code></dt>
<dd><p>This also adds a leading 'z' in case job_id starts with an invalid
character.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>job_id</strong> (<em>str:</em>) -- A job_id str that may have invalid characters.</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>A valid job_id representation.</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></p>
</dd>
</dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineStartBatchPredictionJobOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.mlengine.</code><code class="sig-name descname">MLEngineStartBatchPredictionJobOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">job_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">region</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">data_format</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">input_paths</span><span class="p">:</span> <span class="n">List<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span></em>, <em class="sig-param"><span class="n">output_path</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">model_name</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">version_name</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">uri</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">max_worker_count</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)">int</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">runtime_version</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">signature_name</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">labels</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Dict<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Union<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Sequence<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineStartBatchPredictionJobOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineStartBatchPredictionJobOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Start a Google Cloud ML Engine prediction job.</p>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<p>For more information on how to use this operator, take a look at the guide:
<a class="reference internal" href="../../../../../../../operators/cloud/mlengine.html#howto-operator-mlenginestartbatchpredictionjoboperator"><span class="std std-ref">Making predictions</span></a></p>
</div>
<p>NOTE: For model origin, users should consider exactly one from the
three options below:</p>
<ol class="arabic simple">
<li><p>Populate <code class="docutils literal notranslate"><span class="pre">uri</span></code> field only, which should be a GCS location that
points to a tensorflow savedModel directory.</p></li>
<li><p>Populate <code class="docutils literal notranslate"><span class="pre">model_name</span></code> field only, which refers to an existing
model, and the default version of the model will be used.</p></li>
<li><p>Populate both <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> fields, which
refers to a specific version of a specific model.</p></li>
</ol>
<p>In options 2 and 3, both model and version name should contain the
minimal identifier. For instance, call:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">MLEngineBatchPredictionOperator</span><span class="p">(</span>
<span class="o">...</span><span class="p">,</span>
<span class="n">model_name</span><span class="o">=</span><span class="s1">&#39;my_model&#39;</span><span class="p">,</span>
<span class="n">version_name</span><span class="o">=</span><span class="s1">&#39;my_version&#39;</span><span class="p">,</span>
<span class="o">...</span><span class="p">)</span>
</pre></div>
</div>
<p>if the desired model version is
<code class="docutils literal notranslate"><span class="pre">projects/my_project/models/my_model/versions/my_version</span></code>.</p>
<p>See <a class="reference external" href="https://cloud.google.com/ml-engine/reference/rest/v1/projects.jobs">https://cloud.google.com/ml-engine/reference/rest/v1/projects.jobs</a>
for further documentation on the parameters.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>job_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- A unique id for the prediction job on Google Cloud
ML Engine. (templated)</p></li>
<li><p><strong>data_format</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The format of the input data.
It will default to 'DATA_FORMAT_UNSPECIFIED' if is not provided
or is not one of [&quot;TEXT&quot;, &quot;TF_RECORD&quot;, &quot;TF_RECORD_GZIP&quot;].</p></li>
<li><p><strong>input_paths</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.9)"><em>list</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em>) -- A list of GCS paths of input data for batch
prediction. Accepting wildcard operator <code class="docutils literal notranslate"><span class="pre">*</span></code>, but only at the end. (templated)</p></li>
<li><p><strong>output_path</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The GCS path where the prediction results are
written to. (templated)</p></li>
<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The Google Compute Engine region to run the
prediction job in. (templated)</p></li>
<li><p><strong>model_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The Google Cloud ML Engine model to use for prediction.
If version_name is not provided, the default version of this
model will be used.
Should not be None if version_name is provided.
Should be None if uri is provided. (templated)</p></li>
<li><p><strong>version_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The Google Cloud ML Engine model version to use for
prediction.
Should be None if uri is provided. (templated)</p></li>
<li><p><strong>uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The GCS path of the saved model to use for prediction.
Should be None if model_name is provided.
It should be a GCS path pointing to a tensorflow SavedModel. (templated)</p></li>
<li><p><strong>max_worker_count</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The maximum number of workers to be used
for parallel processing. Defaults to 10 if not specified. Should be a
string representing the worker count (&quot;10&quot; instead of 10, &quot;50&quot; instead
of 50, etc.)</p></li>
<li><p><strong>runtime_version</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The Google Cloud ML Engine runtime version to use
for batch prediction.</p></li>
<li><p><strong>signature_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The name of the signature defined in the SavedModel
to use for this job.</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 v3.9)"><em>str</em></a>) -- The Google Cloud project name where the prediction job is submitted.
If set to None or missing, the default project_id from the Google Cloud connection is used.
(templated)</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID used for connection to Google
Cloud Platform.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>labels</strong> (<em>Dict</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em>) -- a dictionary containing labels for the job; passed to BigQuery</p></li>
<li><p><strong>impersonation_chain</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>, </em><em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em><em>]</em>) -- Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).</p></li>
</ul>
</dd>
<dt class="field-even">Raises</dt>
<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">ValueError</span></code>: if a unique model/version origin cannot be
determined.</p>
</dd>
</dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineStartBatchPredictionJobOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['_project_id', '_job_id', '_region', '_input_paths', '_output_path', '_model_name', '_version_name', '_uri', '_impersonation_chain']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineStartBatchPredictionJobOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineStartBatchPredictionJobOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineStartBatchPredictionJobOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineStartBatchPredictionJobOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineStartBatchPredictionJobOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineManageModelOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.mlengine.</code><code class="sig-name descname">MLEngineManageModelOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">model</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)">dict</a></span></em>, <em class="sig-param"><span class="n">operation</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'create'</span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Union<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Sequence<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineManageModelOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineManageModelOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Operator for managing a Google Cloud ML Engine model.</p>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>This operator is deprecated. Consider using operators for specific operations:
MLEngineCreateModelOperator, MLEngineGetModelOperator.</p>
</div>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>model</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)"><em>dict</em></a>) -- <p>A dictionary containing the information about the model.
If the <cite>operation</cite> is <cite>create</cite>, then the <cite>model</cite> parameter should
contain all the information about this model such as <cite>name</cite>.</p>
<p>If the <cite>operation</cite> is <cite>get</cite>, the <cite>model</cite> parameter
should contain the <cite>name</cite> of the model.</p>
</p></li>
<li><p><strong>operation</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- <p>The operation to perform. Available operations are:</p>
<ul>
<li><p><code class="docutils literal notranslate"><span class="pre">create</span></code>: Creates a new model as provided by the <cite>model</cite> parameter.</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">get</span></code>: Gets a particular model where the name is specified in <cite>model</cite>.</p></li>
</ul>
</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 v3.9)"><em>str</em></a>) -- The Google Cloud project name to which MLEngine model belongs.
If set to None or missing, the default project_id from the Google Cloud connection is used.
(templated)</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use when fetching connection info.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>impersonation_chain</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>, </em><em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em><em>]</em>) -- Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).</p></li>
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineManageModelOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['_project_id', '_model', '_impersonation_chain']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineManageModelOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineManageModelOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineManageModelOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineManageModelOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineManageModelOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineCreateModelOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.mlengine.</code><code class="sig-name descname">MLEngineCreateModelOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">model</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)">dict</a></span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Union<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Sequence<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineCreateModelOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateModelOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Creates a new model.</p>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<p>For more information on how to use this operator, take a look at the guide:
<a class="reference internal" href="../../../../../../../operators/cloud/mlengine.html#howto-operator-mlenginecreatemodeloperator"><span class="std std-ref">Creating a model</span></a></p>
</div>
<p>The model should be provided by the <cite>model</cite> parameter.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>model</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)"><em>dict</em></a>) -- A dictionary containing the information about the model.</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 v3.9)"><em>str</em></a>) -- The Google Cloud project name to which MLEngine model belongs.
If set to None or missing, the default project_id from the Google Cloud connection is used.
(templated)</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use when fetching connection info.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>impersonation_chain</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>, </em><em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em><em>]</em>) -- Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).</p></li>
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineCreateModelOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['_project_id', '_model', '_impersonation_chain']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineCreateModelOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateModelOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineCreateModelOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineCreateModelOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateModelOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineGetModelOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.mlengine.</code><code class="sig-name descname">MLEngineGetModelOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">model_name</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Union<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Sequence<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineGetModelOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineGetModelOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Gets a particular model</p>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<p>For more information on how to use this operator, take a look at the guide:
<a class="reference internal" href="../../../../../../../operators/cloud/mlengine.html#howto-operator-mlenginegetmodeloperator"><span class="std std-ref">Getting a model</span></a></p>
</div>
<p>The name of model should be specified in <cite>model_name</cite>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>model_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The name of the model.</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 v3.9)"><em>str</em></a>) -- The Google Cloud project name to which MLEngine model belongs.
If set to None or missing, the default project_id from the Google Cloud connection is used.
(templated)</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use when fetching connection info.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>impersonation_chain</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>, </em><em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em><em>]</em>) -- Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).</p></li>
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineGetModelOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['_project_id', '_model_name', '_impersonation_chain']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineGetModelOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineGetModelOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineGetModelOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineGetModelOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineGetModelOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteModelOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.mlengine.</code><code class="sig-name descname">MLEngineDeleteModelOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">model_name</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">delete_contents</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)">bool</a></span> <span class="o">=</span> <span class="default_value">False</span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Union<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Sequence<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineDeleteModelOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteModelOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Deletes a model.</p>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<p>For more information on how to use this operator, take a look at the guide:
<a class="reference internal" href="../../../../../../../operators/cloud/mlengine.html#howto-operator-mlenginedeletemodeloperator"><span class="std std-ref">Cleaning up</span></a></p>
</div>
<p>The model should be provided by the <cite>model_name</cite> parameter.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>model_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The name of the model.</p></li>
<li><p><strong>delete_contents</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)"><em>bool</em></a>) -- (Optional) Whether to force the deletion even if the models is not empty.
Will delete all version (if any) in the dataset if set to True.
The default value is False.</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 v3.9)"><em>str</em></a>) -- The Google Cloud project name to which MLEngine model belongs.
If set to None or missing, the default project_id from the Google Cloud connection is used.
(templated)</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use when fetching connection info.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>impersonation_chain</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>, </em><em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em><em>]</em>) -- Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).</p></li>
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteModelOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['_project_id', '_model_name', '_impersonation_chain']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineDeleteModelOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteModelOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteModelOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineDeleteModelOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteModelOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineManageVersionOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.mlengine.</code><code class="sig-name descname">MLEngineManageVersionOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">model_name</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">version_name</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">version</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)">dict</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">operation</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'create'</span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Union<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Sequence<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineManageVersionOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineManageVersionOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Operator for managing a Google Cloud ML Engine version.</p>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>This operator is deprecated. Consider using operators for specific operations:
MLEngineCreateVersionOperator, MLEngineSetDefaultVersionOperator,
MLEngineListVersionsOperator, MLEngineDeleteVersionOperator.</p>
</div>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>model_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The name of the Google Cloud ML Engine model that the version
belongs to. (templated)</p></li>
<li><p><strong>version_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- A name to use for the version being operated upon.
If not None and the <cite>version</cite> argument is None or does not have a value for
the <cite>name</cite> key, then this will be populated in the payload for the
<cite>name</cite> key. (templated)</p></li>
<li><p><strong>version</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)"><em>dict</em></a>) -- A dictionary containing the information about the version.
If the <cite>operation</cite> is <cite>create</cite>, <cite>version</cite> should contain all the
information about this version such as name, and deploymentUrl.
If the <cite>operation</cite> is <cite>get</cite> or <cite>delete</cite>, the <cite>version</cite> parameter
should contain the <cite>name</cite> of the version.
If it is None, the only <cite>operation</cite> possible would be <cite>list</cite>. (templated)</p></li>
<li><p><strong>operation</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- <p>The operation to perform. Available operations are:</p>
<ul>
<li><p><code class="docutils literal notranslate"><span class="pre">create</span></code>: Creates a new version in the model specified by <cite>model_name</cite>,
in which case the <cite>version</cite> parameter should contain all the
information to create that version
(e.g. <cite>name</cite>, <cite>deploymentUrl</cite>).</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">set_defaults</span></code>: Sets a version in the model specified by <cite>model_name</cite> to be the default.
The name of the version should be specified in the <cite>version</cite>
parameter.</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">list</span></code>: Lists all available versions of the model specified
by <cite>model_name</cite>.</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">delete</span></code>: Deletes the version specified in <cite>version</cite> parameter from the
model specified by <cite>model_name</cite>).
The name of the version should be specified in the <cite>version</cite>
parameter.</p></li>
</ul>
</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 v3.9)"><em>str</em></a>) -- The Google Cloud project name to which MLEngine model belongs.
If set to None or missing, the default project_id from the Google Cloud connection is used.
(templated)</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use when fetching connection info.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>impersonation_chain</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>, </em><em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em><em>]</em>) -- Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).</p></li>
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineManageVersionOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['_project_id', '_model_name', '_version_name', '_version', '_impersonation_chain']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineManageVersionOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineManageVersionOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineManageVersionOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineManageVersionOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineManageVersionOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.mlengine.</code><code class="sig-name descname">MLEngineCreateVersionOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">model_name</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">version</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)">dict</a></span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Union<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Sequence<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineCreateVersionOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Creates a new version in the model</p>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<p>For more information on how to use this operator, take a look at the guide:
<a class="reference internal" href="../../../../../../../operators/cloud/mlengine.html#howto-operator-mlenginecreateversionoperator"><span class="std std-ref">Creating model versions</span></a></p>
</div>
<p>Model should be specified by <cite>model_name</cite>, in which case the <cite>version</cite> parameter should contain all the
information to create that version</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>model_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The name of the Google Cloud ML Engine model that the version belongs to. (templated)</p></li>
<li><p><strong>version</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)"><em>dict</em></a>) -- A dictionary containing the information about the version. (templated)</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 v3.9)"><em>str</em></a>) -- The Google Cloud project name to which MLEngine model belongs.
If set to None or missing, the default project_id from the Google Cloud connection is used.
(templated)</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use when fetching connection info.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>impersonation_chain</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>, </em><em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em><em>]</em>) -- Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).</p></li>
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['_project_id', '_model_name', '_version', '_impersonation_chain']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineCreateVersionOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator._validate_inputs">
<code class="sig-name descname">_validate_inputs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineCreateVersionOperator._validate_inputs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator._validate_inputs" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineCreateVersionOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.mlengine.</code><code class="sig-name descname">MLEngineSetDefaultVersionOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">model_name</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">version_name</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Union<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Sequence<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineSetDefaultVersionOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Sets a version in the model.</p>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<p>For more information on how to use this operator, take a look at the guide:
<a class="reference internal" href="../../../../../../../operators/cloud/mlengine.html#howto-operator-mlenginesetdefaultversionoperator"><span class="std std-ref">Managing model versions</span></a></p>
</div>
<p>The model should be specified by <cite>model_name</cite> to be the default. The name of the version should be
specified in the <cite>version_name</cite> parameter.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>model_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The name of the Google Cloud ML Engine model that the version belongs to. (templated)</p></li>
<li><p><strong>version_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- A name to use for the version being operated upon. (templated)</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 v3.9)"><em>str</em></a>) -- The Google Cloud project name to which MLEngine model belongs.
If set to None or missing, the default project_id from the Google Cloud connection is used.
(templated)</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use when fetching connection info.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>impersonation_chain</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>, </em><em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em><em>]</em>) -- Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).</p></li>
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['_project_id', '_model_name', '_version_name', '_impersonation_chain']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineSetDefaultVersionOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator._validate_inputs">
<code class="sig-name descname">_validate_inputs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineSetDefaultVersionOperator._validate_inputs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator._validate_inputs" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineSetDefaultVersionOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.mlengine.</code><code class="sig-name descname">MLEngineListVersionsOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">model_name</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Union<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Sequence<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineListVersionsOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Lists all available versions of the model</p>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<p>For more information on how to use this operator, take a look at the guide:
<a class="reference internal" href="../../../../../../../operators/cloud/mlengine.html#howto-operator-mlenginelistversionsoperator"><span class="std std-ref">Managing model versions</span></a></p>
</div>
<p>The model should be specified by <cite>model_name</cite>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>model_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The name of the Google Cloud ML Engine model that the version
belongs to. (templated)</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use when fetching connection info.</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 v3.9)"><em>str</em></a>) -- The Google Cloud project name to which MLEngine model belongs.
If set to None or missing, the default project_id from the Google Cloud connection is used.
(templated)</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>impersonation_chain</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>, </em><em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em><em>]</em>) -- Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).</p></li>
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['_project_id', '_model_name', '_impersonation_chain']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineListVersionsOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator._validate_inputs">
<code class="sig-name descname">_validate_inputs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineListVersionsOperator._validate_inputs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator._validate_inputs" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineListVersionsOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.mlengine.</code><code class="sig-name descname">MLEngineDeleteVersionOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">model_name</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">version_name</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Union<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Sequence<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineDeleteVersionOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Deletes the version from the model.</p>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<p>For more information on how to use this operator, take a look at the guide:
<a class="reference internal" href="../../../../../../../operators/cloud/mlengine.html#howto-operator-mlenginedeleteversionoperator"><span class="std std-ref">Cleaning up</span></a></p>
</div>
<p>The name of the version should be specified in <cite>version_name</cite> parameter from the model specified
by <cite>model_name</cite>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>model_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The name of the Google Cloud ML Engine model that the version
belongs to. (templated)</p></li>
<li><p><strong>version_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- A name to use for the version being operated upon. (templated)</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 v3.9)"><em>str</em></a>) -- The Google Cloud project name to which MLEngine
model belongs.</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use when fetching connection info.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>impersonation_chain</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>, </em><em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em><em>]</em>) -- Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).</p></li>
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['_project_id', '_model_name', '_version_name', '_impersonation_chain']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineDeleteVersionOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator._validate_inputs">
<code class="sig-name descname">_validate_inputs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineDeleteVersionOperator._validate_inputs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator._validate_inputs" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineDeleteVersionOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.mlengine.AIPlatformConsoleLink">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.mlengine.</code><code class="sig-name descname">AIPlatformConsoleLink</code><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#AIPlatformConsoleLink"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.AIPlatformConsoleLink" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperatorLink" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperatorLink</span></code></a></p>
<p>Helper class for constructing AI Platform Console link.</p>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.mlengine.AIPlatformConsoleLink.name">
<code class="sig-name descname">name</code><em class="property"> = AI Platform Console</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#AIPlatformConsoleLink.name"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.AIPlatformConsoleLink.name" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.AIPlatformConsoleLink.get_link">
<code class="sig-name descname">get_link</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">operator</span></em>, <em class="sig-param"><span class="n">dttm</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#AIPlatformConsoleLink.get_link"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.AIPlatformConsoleLink.get_link" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.mlengine.</code><code class="sig-name descname">MLEngineStartTrainingJobOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">job_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">package_uris</span><span class="p">:</span> <span class="n">List<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span></em>, <em class="sig-param"><span class="n">training_python_module</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">training_args</span><span class="p">:</span> <span class="n">List<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span></em>, <em class="sig-param"><span class="n">region</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">scale_tier</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">master_type</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">master_config</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Dict<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">runtime_version</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">python_version</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">job_dir</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">service_account</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">mode</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'PRODUCTION'</span></em>, <em class="sig-param"><span class="n">labels</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Dict<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Union<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Sequence<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineStartTrainingJobOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Operator for launching a MLEngine training job.</p>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<p>For more information on how to use this operator, take a look at the guide:
<a class="reference internal" href="../../../../../../../operators/cloud/mlengine.html#howto-operator-mlenginestarttrainingjoboperator"><span class="std std-ref">Launching a Job</span></a></p>
</div>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>job_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- A unique templated id for the submitted Google MLEngine
training job. (templated)</p></li>
<li><p><strong>package_uris</strong> (<em>List</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em>) -- A list of package locations for MLEngine training job,
which should include the main training program + any additional
dependencies. (templated)</p></li>
<li><p><strong>training_python_module</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The Python module name to run within MLEngine
training job after installing 'package_uris' packages. (templated)</p></li>
<li><p><strong>training_args</strong> (<em>List</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em>) -- A list of templated command line arguments to pass to
the MLEngine training program. (templated)</p></li>
<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The Google Compute Engine region to run the MLEngine training
job in (templated).</p></li>
<li><p><strong>scale_tier</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- Resource tier for MLEngine training job. (templated)</p></li>
<li><p><strong>master_type</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)"><em>dict</em></a>) -- Cloud ML Engine machine name.
Must be set when scale_tier is CUSTOM. (templated)</p></li>
<li><p><strong>master_config</strong> -- Cloud ML Engine master config.
master_type must be set if master_config is provided. (templated)</p></li>
<li><p><strong>runtime_version</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The Google Cloud ML runtime version to use for
training. (templated)</p></li>
<li><p><strong>python_version</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The version of Python used in training. (templated)</p></li>
<li><p><strong>job_dir</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- A Google Cloud Storage path in which to store training
outputs and other data needed for training. (templated)</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 v3.9)"><em>str</em></a>) -- Optional service account to use when running the training application.
(templated)
The specified service account must have the <cite>iam.serviceAccounts.actAs</cite> role. The
Google-managed Cloud ML Engine service account must have the <cite>iam.serviceAccountAdmin</cite> role
for the specified service account.
If set to None or missing, the Google-managed Cloud ML Engine service account will be used.</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 v3.9)"><em>str</em></a>) -- The Google Cloud project name within which MLEngine training job should run.
If set to None or missing, the default project_id from the Google Cloud connection is used.
(templated)</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use when fetching connection info.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>mode</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- Can be one of 'DRY_RUN'/'CLOUD'. In 'DRY_RUN' mode, no real
training job will be launched, but the MLEngine training job request
will be printed out. In 'CLOUD' mode, a real MLEngine training job
creation request will be issued.</p></li>
<li><p><strong>labels</strong> (<em>Dict</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em>) -- a dictionary containing labels for the job; passed to BigQuery</p></li>
<li><p><strong>impersonation_chain</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>, </em><em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em><em>]</em>) -- Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).</p></li>
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['_project_id', '_job_id', '_package_uris', '_training_python_module', '_training_args', '_region', '_scale_tier', '_master_type', '_master_config', '_runtime_version', '_python_version', '_job_dir', '_service_account', '_impersonation_chain']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineStartTrainingJobOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator.operator_extra_links">
<code class="sig-name descname">operator_extra_links</code><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineStartTrainingJobOperator.operator_extra_links"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator.operator_extra_links" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineStartTrainingJobOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineTrainingCancelJobOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.mlengine.</code><code class="sig-name descname">MLEngineTrainingCancelJobOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">job_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Union<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Sequence<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineTrainingCancelJobOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineTrainingCancelJobOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Operator for cleaning up failed MLEngine training job.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>job_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- A unique templated id for the submitted Google MLEngine
training job. (templated)</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 v3.9)"><em>str</em></a>) -- The Google Cloud project name within which MLEngine training job should run.
If set to None or missing, the default project_id from the Google Cloud connection is used.
(templated)</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use when fetching connection info.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>impersonation_chain</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>, </em><em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em><em>]</em>) -- Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).</p></li>
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineTrainingCancelJobOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['_project_id', '_job_id', '_impersonation_chain']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineTrainingCancelJobOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineTrainingCancelJobOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.mlengine.MLEngineTrainingCancelJobOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/mlengine.html#MLEngineTrainingCancelJobOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineTrainingCancelJobOperator.execute" title="Permalink to this definition"></a></dt>
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<ul>
<li><a class="reference internal" href="#"><code class="xref py py-mod docutils literal notranslate"><span class="pre">airflow.providers.google.cloud.operators.mlengine</span></code></a><ul>
<li><a class="reference internal" href="#module-contents">Module Contents</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.log">log</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine._normalize_mlengine_job_id">_normalize_mlengine_job_id</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineStartBatchPredictionJobOperator">MLEngineStartBatchPredictionJobOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineStartBatchPredictionJobOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineStartBatchPredictionJobOperator.execute">execute</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineManageModelOperator">MLEngineManageModelOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineManageModelOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineManageModelOperator.execute">execute</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateModelOperator">MLEngineCreateModelOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateModelOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateModelOperator.execute">execute</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineGetModelOperator">MLEngineGetModelOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineGetModelOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineGetModelOperator.execute">execute</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteModelOperator">MLEngineDeleteModelOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteModelOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteModelOperator.execute">execute</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineManageVersionOperator">MLEngineManageVersionOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineManageVersionOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineManageVersionOperator.execute">execute</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator">MLEngineCreateVersionOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator._validate_inputs">_validate_inputs</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator.execute">execute</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator">MLEngineSetDefaultVersionOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator._validate_inputs">_validate_inputs</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator.execute">execute</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator">MLEngineListVersionsOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator._validate_inputs">_validate_inputs</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator.execute">execute</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator">MLEngineDeleteVersionOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator._validate_inputs">_validate_inputs</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator.execute">execute</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.AIPlatformConsoleLink">AIPlatformConsoleLink</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.AIPlatformConsoleLink.name">name</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.AIPlatformConsoleLink.get_link">get_link</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator">MLEngineStartTrainingJobOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator.operator_extra_links">operator_extra_links</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator.execute">execute</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineTrainingCancelJobOperator">MLEngineTrainingCancelJobOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineTrainingCancelJobOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.mlengine.MLEngineTrainingCancelJobOperator.execute">execute</a></li>
</ul>
</li>
</ul>
</li>
</ul>
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