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| <section id="module-apache_beam.ml.transforms.base"> |
| <span id="apache-beam-ml-transforms-base-module"></span><h1>apache_beam.ml.transforms.base module<a class="headerlink" href="#module-apache_beam.ml.transforms.base" title="Link to this heading"></a></h1> |
| <dl class="py class"> |
| <dt class="sig sig-object py" id="apache_beam.ml.transforms.base.MLTransform"> |
| <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.ml.transforms.base.</span></span><span class="sig-name descname"><span class="pre">MLTransform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">write_artifact_location</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">read_artifact_location</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transforms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><span class="pre">list</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#apache_beam.ml.transforms.base.MLTransformProvider" title="apache_beam.ml.transforms.base.MLTransformProvider"><span class="pre">MLTransformProvider</span></a><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/transforms/base.html#MLTransform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.base.MLTransform" title="Link to this definition"></a></dt> |
| <dd><p>Bases: <a class="reference internal" href="apache_beam.transforms.ptransform.html#apache_beam.transforms.ptransform.PTransform" title="apache_beam.transforms.ptransform.PTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">PTransform</span></code></a>[<a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><code class="xref py py-class docutils literal notranslate"><span class="pre">PCollection</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">ExampleT</span></code>], <a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><code class="xref py py-class docutils literal notranslate"><span class="pre">PCollection</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">MLTransformOutputT</span></code>] | <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a>[<a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><code class="xref py py-class docutils literal notranslate"><span class="pre">PCollection</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">MLTransformOutputT</span></code>], <a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><code class="xref py py-class docutils literal notranslate"><span class="pre">PCollection</span></code></a>[<a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.Row" title="apache_beam.pvalue.Row"><code class="xref py py-class docutils literal notranslate"><span class="pre">Row</span></code></a>]]], <a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Generic" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Generic</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">ExampleT</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">MLTransformOutputT</span></code>]</p> |
| <p>MLTransform is a Beam PTransform that can be used to apply |
| transformations to the data. MLTransform is used to wrap the |
| data processing transforms provided by Apache Beam. MLTransform |
| works in two modes: write and read. In the write mode, |
| MLTransform will apply the transforms to the data and store the |
| artifacts in the write_artifact_location. In the read mode, |
| MLTransform will read the artifacts from the |
| read_artifact_location and apply the transforms to the data. The |
| artifact location should be a valid storage path where the artifacts |
| can be written to or read from.</p> |
| <p>Note that when consuming artifacts, it is not necessary to pass the |
| transforms since they are inherently stored within the artifacts |
| themselves.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>write_artifact_location</strong> – A storage location for artifacts resulting from |
| MLTransform. These artifacts include transformations applied to |
| the dataset and generated values like min, max from ScaleTo01, |
| and mean, var from ScaleToZScore. Artifacts are produced and written |
| to this location when using <cite>write_artifact_mode</cite>. |
| Later MLTransforms can reuse produced artifacts by setting |
| <cite>read_artifact_mode</cite> instead of <cite>write_artifact_mode</cite>. The value |
| assigned to <cite>write_artifact_location</cite> should be a valid storage |
| directory that the artifacts from this transform can be written to. |
| If no directory exists at this location, one will be created. This will |
| overwrite any artifacts already in this location, so distinct locations |
| should be used for each instance of MLTransform. Only one of |
| write_artifact_location and read_artifact_location should be specified.</p></li> |
| <li><p><strong>read_artifact_location</strong> – A storage location to read artifacts resulting |
| froma previous MLTransform. These artifacts include transformations |
| applied to the dataset and generated values like min, max from |
| ScaleTo01, and mean, var from ScaleToZScore. Note that when consuming |
| artifacts, it is not necessary to pass the transforms since they are |
| inherently stored within the artifacts themselves. The value assigned |
| to <cite>read_artifact_location</cite> should be a valid storage path where the |
| artifacts can be read from. Only one of write_artifact_location and |
| read_artifact_location should be specified.</p></li> |
| <li><p><strong>transforms</strong> – A list of transforms to apply to the data. All the transforms |
| are applied in the order they are specified. The input of the |
| i-th transform is the output of the (i-1)-th transform. Multi-input |
| transforms are not supported yet.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="apache_beam.ml.transforms.base.MLTransform.expand"> |
| <span class="sig-name descname"><span class="pre">expand</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pcoll</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><span class="pre">PCollection</span></a><span class="p"><span class="pre">[</span></span><span class="pre">ExampleT</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><span class="pre">PCollection</span></a><span class="p"><span class="pre">[</span></span><span class="pre">MLTransformOutputT</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><span class="pre">tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><span class="pre">PCollection</span></a><span class="p"><span class="pre">[</span></span><span class="pre">MLTransformOutputT</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><span class="pre">PCollection</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.Row" title="apache_beam.pvalue.Row"><span class="pre">Row</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/apache_beam/ml/transforms/base.html#MLTransform.expand"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.base.MLTransform.expand" title="Link to this definition"></a></dt> |
| <dd><p>This is the entrypoint for the MLTransform. This method will |
| invoke the process_data() method of the ProcessHandler instance |
| to process the incoming data.</p> |
| <p>process_data takes in a PCollection and applies the PTransforms |
| necessary to process the data and returns a PCollection of |
| transformed data. |
| :param pcoll: A PCollection of ExampleT type.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Returns<span class="colon">:</span></dt> |
| <dd class="field-odd"><p>A PCollection of MLTransformOutputT type</p> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="apache_beam.ml.transforms.base.MLTransform.with_transform"> |
| <span class="sig-name descname"><span class="pre">with_transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#apache_beam.ml.transforms.base.MLTransformProvider" title="apache_beam.ml.transforms.base.MLTransformProvider"><span class="pre">MLTransformProvider</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/transforms/base.html#MLTransform.with_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.base.MLTransform.with_transform" title="Link to this definition"></a></dt> |
| <dd><p>Add a transform to the MLTransform pipeline. |
| :param transform: A BaseOperation instance.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Returns<span class="colon">:</span></dt> |
| <dd class="field-odd"><p>A MLTransform instance.</p> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="apache_beam.ml.transforms.base.MLTransform.with_exception_handling"> |
| <span class="sig-name descname"><span class="pre">with_exception_handling</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exc_class=<class</span> <span class="pre">'Exception'></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_subprocess=False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold=1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/transforms/base.html#MLTransform.with_exception_handling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.base.MLTransform.with_exception_handling" title="Link to this definition"></a></dt> |
| <dd></dd></dl> |
| |
| </dd></dl> |
| |
| <dl class="py class"> |
| <dt class="sig sig-object py" id="apache_beam.ml.transforms.base.ProcessHandler"> |
| <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.ml.transforms.base.</span></span><span class="sig-name descname"><span class="pre">ProcessHandler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/transforms/base.html#ProcessHandler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.base.ProcessHandler" title="Link to this definition"></a></dt> |
| <dd><p>Bases: <a class="reference internal" href="apache_beam.transforms.ptransform.html#apache_beam.transforms.ptransform.PTransform" title="apache_beam.transforms.ptransform.PTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">PTransform</span></code></a>[<a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><code class="xref py py-class docutils literal notranslate"><span class="pre">PCollection</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">ExampleT</span></code>], <a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><code class="xref py py-class docutils literal notranslate"><span class="pre">PCollection</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">MLTransformOutputT</span></code>] | <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a>[<a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><code class="xref py py-class docutils literal notranslate"><span class="pre">PCollection</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">MLTransformOutputT</span></code>], <a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><code class="xref py py-class docutils literal notranslate"><span class="pre">PCollection</span></code></a>[<a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.Row" title="apache_beam.pvalue.Row"><code class="xref py py-class docutils literal notranslate"><span class="pre">Row</span></code></a>]]], <a class="reference external" href="https://docs.python.org/3/library/abc.html#abc.ABC" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ABC</span></code></a></p> |
| <p>Only for internal use. No backwards compatibility guarantees.</p> |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="apache_beam.ml.transforms.base.ProcessHandler.append_transform"> |
| <em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">append_transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#apache_beam.ml.transforms.base.BaseOperation" title="apache_beam.ml.transforms.base.BaseOperation"><span class="pre">BaseOperation</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/transforms/base.html#ProcessHandler.append_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.base.ProcessHandler.append_transform" title="Link to this definition"></a></dt> |
| <dd><p>Append transforms to the ProcessHandler.</p> |
| </dd></dl> |
| |
| </dd></dl> |
| |
| <dl class="py class"> |
| <dt class="sig sig-object py" id="apache_beam.ml.transforms.base.MLTransformProvider"> |
| <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.ml.transforms.base.</span></span><span class="sig-name descname"><span class="pre">MLTransformProvider</span></span><a class="reference internal" href="_modules/apache_beam/ml/transforms/base.html#MLTransformProvider"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.base.MLTransformProvider" title="Link to this definition"></a></dt> |
| <dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p> |
| <p>Data processing transforms that are intended to be used with MLTransform |
| should subclass MLTransformProvider and implement |
| get_ptransform_for_processing().</p> |
| <p>get_ptransform_for_processing() method should return a PTransform that can be |
| used to process the data.</p> |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="apache_beam.ml.transforms.base.MLTransformProvider.get_ptransform_for_processing"> |
| <em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_ptransform_for_processing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="apache_beam.transforms.ptransform.html#apache_beam.transforms.ptransform.PTransform" title="apache_beam.transforms.ptransform.PTransform"><span class="pre">PTransform</span></a></span></span><a class="reference internal" href="_modules/apache_beam/ml/transforms/base.html#MLTransformProvider.get_ptransform_for_processing"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.base.MLTransformProvider.get_ptransform_for_processing" title="Link to this definition"></a></dt> |
| <dd><p>Returns a PTransform that can be used to process the data.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="apache_beam.ml.transforms.base.MLTransformProvider.get_counter"> |
| <span class="sig-name descname"><span class="pre">get_counter</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/transforms/base.html#MLTransformProvider.get_counter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.base.MLTransformProvider.get_counter" title="Link to this definition"></a></dt> |
| <dd><p>Returns the counter name for the data processing transform.</p> |
| </dd></dl> |
| |
| </dd></dl> |
| |
| <dl class="py class"> |
| <dt class="sig sig-object py" id="apache_beam.ml.transforms.base.BaseOperation"> |
| <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.ml.transforms.base.</span></span><span class="sig-name descname"><span class="pre">BaseOperation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><span class="pre">list</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/transforms/base.html#BaseOperation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.base.BaseOperation" title="Link to this definition"></a></dt> |
| <dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Generic" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Generic</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">OperationInputT</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">OperationOutputT</span></code>], <a class="reference internal" href="#apache_beam.ml.transforms.base.MLTransformProvider" title="apache_beam.ml.transforms.base.MLTransformProvider"><code class="xref py py-class docutils literal notranslate"><span class="pre">MLTransformProvider</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/abc.html#abc.ABC" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ABC</span></code></a></p> |
| <p>Base Opertation class data processing transformations. |
| :param columns: List of column names to apply the transformation.</p> |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="apache_beam.ml.transforms.base.BaseOperation.apply_transform"> |
| <em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">apply_transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">OperationInputT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_column_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">OperationOutputT</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/apache_beam/ml/transforms/base.html#BaseOperation.apply_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.base.BaseOperation.apply_transform" title="Link to this definition"></a></dt> |
| <dd><p>Define any processing logic in the apply_transform() method. |
| processing logics are applied on inputs and returns a transformed |
| output. |
| :param inputs: input data.</p> |
| </dd></dl> |
| |
| </dd></dl> |
| |
| <dl class="py class"> |
| <dt class="sig sig-object py" id="apache_beam.ml.transforms.base.EmbeddingsManager"> |
| <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.ml.transforms.base.</span></span><span class="sig-name descname"><span class="pre">EmbeddingsManager</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><span class="pre">list</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">type_adapter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">EmbeddingTypeAdapter</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_model_args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.13)"><span class="pre">Any</span></a><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">large_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/transforms/base.html#EmbeddingsManager"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.base.EmbeddingsManager" title="Link to this definition"></a></dt> |
| <dd><p>Bases: <a class="reference internal" href="#apache_beam.ml.transforms.base.MLTransformProvider" title="apache_beam.ml.transforms.base.MLTransformProvider"><code class="xref py py-class docutils literal notranslate"><span class="pre">MLTransformProvider</span></code></a></p> |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="apache_beam.ml.transforms.base.EmbeddingsManager.get_model_handler"> |
| <em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_model_handler</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="apache_beam.ml.inference.base.html#apache_beam.ml.inference.base.ModelHandler" title="apache_beam.ml.inference.base.ModelHandler"><span class="pre">ModelHandler</span></a></span></span><a class="reference internal" href="_modules/apache_beam/ml/transforms/base.html#EmbeddingsManager.get_model_handler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.base.EmbeddingsManager.get_model_handler" title="Link to this definition"></a></dt> |
| <dd><p>Return framework specific model handler.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="apache_beam.ml.transforms.base.EmbeddingsManager.get_columns_to_apply"> |
| <span class="sig-name descname"><span class="pre">get_columns_to_apply</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/transforms/base.html#EmbeddingsManager.get_columns_to_apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.base.EmbeddingsManager.get_columns_to_apply" title="Link to this definition"></a></dt> |
| <dd></dd></dl> |
| |
| </dd></dl> |
| |
| </section> |
| |
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