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<div class="section" id="module-airflow.contrib.operators.mlengine_operator">
<span id="airflow-contrib-operators-mlengine-operator"></span><h1><a class="reference internal" href="#module-airflow.contrib.operators.mlengine_operator" title="airflow.contrib.operators.mlengine_operator"><code class="xref py py-mod docutils literal notranslate"><span class="pre">airflow.contrib.operators.mlengine_operator</span></code></a><a class="headerlink" href="#module-airflow.contrib.operators.mlengine_operator" title="Permalink to this headline"></a></h1>
<div class="section" id="module-contents">
<h2>Module Contents<a class="headerlink" href="#module-contents" title="Permalink to this headline"></a></h2>
<dl class="data">
<dt id="airflow.contrib.operators.mlengine_operator.log">
<code class="sig-prename descclassname">airflow.contrib.operators.mlengine_operator.</code><code class="sig-name descname">log</code><a class="reference internal" href="../../../../../_modules/airflow/contrib/operators/mlengine_operator.html#log"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.contrib.operators.mlengine_operator.log" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="airflow.contrib.operators.mlengine_operator._normalize_mlengine_job_id">
<code class="sig-prename descclassname">airflow.contrib.operators.mlengine_operator.</code><code class="sig-name descname">_normalize_mlengine_job_id</code><span class="sig-paren">(</span><em class="sig-param">job_id</em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../_modules/airflow/contrib/operators/mlengine_operator.html#_normalize_mlengine_job_id"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.contrib.operators.mlengine_operator._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="simple">
<dt>Args:</dt><dd><p>job_id: A job_id str that may have invalid characters.</p>
</dd>
<dt>Returns:</dt><dd><p>A valid job_id representation.</p>
</dd>
</dl>
</dd></dl>
<dl class="class">
<dt id="airflow.contrib.operators.mlengine_operator.MLEngineBatchPredictionOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.contrib.operators.mlengine_operator.</code><code class="sig-name descname">MLEngineBatchPredictionOperator</code><span class="sig-paren">(</span><em class="sig-param">project_id</em>, <em class="sig-param">job_id</em>, <em class="sig-param">region</em>, <em class="sig-param">data_format</em>, <em class="sig-param">input_paths</em>, <em class="sig-param">output_path</em>, <em class="sig-param">model_name=None</em>, <em class="sig-param">version_name=None</em>, <em class="sig-param">uri=None</em>, <em class="sig-param">max_worker_count=None</em>, <em class="sig-param">runtime_version=None</em>, <em class="sig-param">signature_name=None</em>, <em class="sig-param">gcp_conn_id='google_cloud_default'</em>, <em class="sig-param">delegate_to=None</em>, <em class="sig-param">*args</em>, <em class="sig-param">**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../_modules/airflow/contrib/operators/mlengine_operator.html#MLEngineBatchPredictionOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.contrib.operators.mlengine_operator.MLEngineBatchPredictionOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="../../../operators/index.html#airflow.operators.BaseOperator" title="airflow.operators.BaseOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.operators.BaseOperator</span></code></a></p>
<p>Start a Google Cloud ML Engine prediction job.</p>
<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>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)"><em>str</em></a>) – The Google Cloud project name where the
prediction job is submitted. (templated)</p></li>
<li><p><strong>job_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)"><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 v3.8)"><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 [“TEXT”, “TF_RECORD”, “TF_RECORD_GZIP”].</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 v3.8)"><em>list</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)"><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 v3.8)"><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 v3.8)"><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 v3.8)"><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 v3.8)"><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 v3.8)"><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/functions.html#int" title="(in Python v3.8)"><em>int</em></a>) – The maximum number of workers to be used
for parallel processing. Defaults to 10 if not specified.</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 v3.8)"><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 v3.8)"><em>str</em></a>) – The name of the signature defined in the SavedModel
to use for this job.</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 v3.8)"><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 v3.8)"><em>str</em></a>) – The account to impersonate, if any.
For this to work, the service account making the request must
have domain-wide delegation enabled.</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="attribute">
<dt id="airflow.contrib.operators.mlengine_operator.MLEngineBatchPredictionOperator.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']</em><a class="reference internal" href="../../../../../_modules/airflow/contrib/operators/mlengine_operator.html#MLEngineBatchPredictionOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.contrib.operators.mlengine_operator.MLEngineBatchPredictionOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="airflow.contrib.operators.mlengine_operator.MLEngineBatchPredictionOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param">self</em>, <em class="sig-param">context</em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../_modules/airflow/contrib/operators/mlengine_operator.html#MLEngineBatchPredictionOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.contrib.operators.mlengine_operator.MLEngineBatchPredictionOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="class">
<dt id="airflow.contrib.operators.mlengine_operator.MLEngineModelOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.contrib.operators.mlengine_operator.</code><code class="sig-name descname">MLEngineModelOperator</code><span class="sig-paren">(</span><em class="sig-param">project_id</em>, <em class="sig-param">model</em>, <em class="sig-param">operation='create'</em>, <em class="sig-param">gcp_conn_id='google_cloud_default'</em>, <em class="sig-param">delegate_to=None</em>, <em class="sig-param">*args</em>, <em class="sig-param">**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../_modules/airflow/contrib/operators/mlengine_operator.html#MLEngineModelOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.contrib.operators.mlengine_operator.MLEngineModelOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="../../../operators/index.html#airflow.operators.BaseOperator" title="airflow.operators.BaseOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.operators.BaseOperator</span></code></a></p>
<p>Operator for managing a Google Cloud ML Engine model.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)"><em>str</em></a>) – The Google Cloud project name to which MLEngine
model belongs. (templated)</p></li>
<li><p><strong>model</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.8)"><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 v3.8)"><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>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)"><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 v3.8)"><em>str</em></a>) – The account to impersonate, if any.
For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
</ul>
</dd>
</dl>
<dl class="attribute">
<dt id="airflow.contrib.operators.mlengine_operator.MLEngineModelOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['_model']</em><a class="reference internal" href="../../../../../_modules/airflow/contrib/operators/mlengine_operator.html#MLEngineModelOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.contrib.operators.mlengine_operator.MLEngineModelOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="airflow.contrib.operators.mlengine_operator.MLEngineModelOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param">self</em>, <em class="sig-param">context</em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../_modules/airflow/contrib/operators/mlengine_operator.html#MLEngineModelOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.contrib.operators.mlengine_operator.MLEngineModelOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="class">
<dt id="airflow.contrib.operators.mlengine_operator.MLEngineVersionOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.contrib.operators.mlengine_operator.</code><code class="sig-name descname">MLEngineVersionOperator</code><span class="sig-paren">(</span><em class="sig-param">project_id</em>, <em class="sig-param">model_name</em>, <em class="sig-param">version_name=None</em>, <em class="sig-param">version=None</em>, <em class="sig-param">operation='create'</em>, <em class="sig-param">gcp_conn_id='google_cloud_default'</em>, <em class="sig-param">delegate_to=None</em>, <em class="sig-param">*args</em>, <em class="sig-param">**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../_modules/airflow/contrib/operators/mlengine_operator.html#MLEngineVersionOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.contrib.operators.mlengine_operator.MLEngineVersionOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="../../../operators/index.html#airflow.operators.BaseOperator" title="airflow.operators.BaseOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.operators.BaseOperator</span></code></a></p>
<p>Operator for managing a Google Cloud ML Engine version.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)"><em>str</em></a>) – The Google Cloud project name to which MLEngine
model belongs.</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 v3.8)"><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 v3.8)"><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 v3.8)"><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 v3.8)"><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">get</span></code>: Gets full information of a particular version in the model
specified by <cite>model_name</cite>.
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>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)"><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 v3.8)"><em>str</em></a>) – The account to impersonate, if any.
For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
</ul>
</dd>
</dl>
<dl class="attribute">
<dt id="airflow.contrib.operators.mlengine_operator.MLEngineVersionOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['_model_name', '_version_name', '_version']</em><a class="reference internal" href="../../../../../_modules/airflow/contrib/operators/mlengine_operator.html#MLEngineVersionOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.contrib.operators.mlengine_operator.MLEngineVersionOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="airflow.contrib.operators.mlengine_operator.MLEngineVersionOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param">self</em>, <em class="sig-param">context</em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../_modules/airflow/contrib/operators/mlengine_operator.html#MLEngineVersionOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.contrib.operators.mlengine_operator.MLEngineVersionOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="class">
<dt id="airflow.contrib.operators.mlengine_operator.MLEngineTrainingOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.contrib.operators.mlengine_operator.</code><code class="sig-name descname">MLEngineTrainingOperator</code><span class="sig-paren">(</span><em class="sig-param">project_id</em>, <em class="sig-param">job_id</em>, <em class="sig-param">package_uris</em>, <em class="sig-param">training_python_module</em>, <em class="sig-param">training_args</em>, <em class="sig-param">region</em>, <em class="sig-param">scale_tier=None</em>, <em class="sig-param">master_type=None</em>, <em class="sig-param">runtime_version=None</em>, <em class="sig-param">python_version=None</em>, <em class="sig-param">job_dir=None</em>, <em class="sig-param">gcp_conn_id='google_cloud_default'</em>, <em class="sig-param">delegate_to=None</em>, <em class="sig-param">mode='PRODUCTION'</em>, <em class="sig-param">*args</em>, <em class="sig-param">**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../_modules/airflow/contrib/operators/mlengine_operator.html#MLEngineTrainingOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.contrib.operators.mlengine_operator.MLEngineTrainingOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="../../../operators/index.html#airflow.operators.BaseOperator" title="airflow.operators.BaseOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.operators.BaseOperator</span></code></a></p>
<p>Operator for launching a 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>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)"><em>str</em></a>) – The Google Cloud project name within which MLEngine
training job should run (templated).</p></li>
<li><p><strong>job_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)"><em>str</em></a>) – A unique templated id for the submitted Google MLEngine
training job. (templated)</p></li>
<li><p><strong>package_uris</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)"><em>str</em></a>) – 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 v3.8)"><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> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)"><em>str</em></a>) – 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 v3.8)"><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 v3.8)"><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#str" title="(in Python v3.8)"><em>str</em></a>) – Cloud ML Engine machine name.
Must be set when scale_tier is CUSTOM. (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 v3.8)"><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 v3.8)"><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 v3.8)"><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>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)"><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 v3.8)"><em>str</em></a>) – The account to impersonate, 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 v3.8)"><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>
</ul>
</dd>
</dl>
<dl class="attribute">
<dt id="airflow.contrib.operators.mlengine_operator.MLEngineTrainingOperator.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', '_runtime_version', '_python_version', '_job_dir']</em><a class="reference internal" href="../../../../../_modules/airflow/contrib/operators/mlengine_operator.html#MLEngineTrainingOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.contrib.operators.mlengine_operator.MLEngineTrainingOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="airflow.contrib.operators.mlengine_operator.MLEngineTrainingOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param">self</em>, <em class="sig-param">context</em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../_modules/airflow/contrib/operators/mlengine_operator.html#MLEngineTrainingOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.contrib.operators.mlengine_operator.MLEngineTrainingOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
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