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   <div class="section" id="pcamodel">
 <h1>PCAModel<a class="headerlink" href="#pcamodel" title="Permalink to this headline">¶</a></h1>
 <dl class="py class">
 <dt id="pyspark.ml.feature.PCAModel">
 <em class="property">class </em><code class="sig-prename descclassname">pyspark.ml.feature.</code><code class="sig-name descname">PCAModel</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">java_model</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>JavaObject<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/pyspark/ml/feature.html#PCAModel"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.ml.feature.PCAModel" title="Permalink to this definition">¶</a></dt>
 <dd><p>Model fitted by <a class="reference internal" href="pyspark.ml.feature.PCA.html#pyspark.ml.feature.PCA" title="pyspark.ml.feature.PCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">PCA</span></code></a>. Transforms vectors to a lower dimensional space.</p>
 <div class="versionadded">
 <p><span class="versionmodified added">New in version 1.5.0.</span></p>
 </div>
 <p class="rubric">Methods</p>
 <table class="longtable table autosummary">
 <colgroup>
 <col style="width: 10%" />
 <col style="width: 90%" />
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.clear" title="pyspark.ml.feature.PCAModel.clear"><code class="xref py py-obj docutils literal notranslate"><span class="pre">clear</span></code></a>(param)</p></td>
 <td><p>Clears a param from the param map if it has been explicitly set.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.copy" title="pyspark.ml.feature.PCAModel.copy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">copy</span></code></a>([extra])</p></td>
 <td><p>Creates a copy of this instance with the same uid and some extra params.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.explainParam" title="pyspark.ml.feature.PCAModel.explainParam"><code class="xref py py-obj docutils literal notranslate"><span class="pre">explainParam</span></code></a>(param)</p></td>
 <td><p>Explains a single param and returns its name, doc, and optional default value and user-supplied value in a string.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.explainParams" title="pyspark.ml.feature.PCAModel.explainParams"><code class="xref py py-obj docutils literal notranslate"><span class="pre">explainParams</span></code></a>()</p></td>
 <td><p>Returns the documentation of all params with their optionally default values and user-supplied values.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.extractParamMap" title="pyspark.ml.feature.PCAModel.extractParamMap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">extractParamMap</span></code></a>([extra])</p></td>
 <td><p>Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.e., with ordering: default param values &lt; user-supplied values &lt; extra.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.getInputCol" title="pyspark.ml.feature.PCAModel.getInputCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getInputCol</span></code></a>()</p></td>
 <td><p>Gets the value of inputCol or its default value.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.getK" title="pyspark.ml.feature.PCAModel.getK"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getK</span></code></a>()</p></td>
 <td><p>Gets the value of k or its default value.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.getOrDefault" title="pyspark.ml.feature.PCAModel.getOrDefault"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getOrDefault</span></code></a>(param)</p></td>
 <td><p>Gets the value of a param in the user-supplied param map or its default value.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.getOutputCol" title="pyspark.ml.feature.PCAModel.getOutputCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getOutputCol</span></code></a>()</p></td>
 <td><p>Gets the value of outputCol or its default value.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.getParam" title="pyspark.ml.feature.PCAModel.getParam"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getParam</span></code></a>(paramName)</p></td>
 <td><p>Gets a param by its name.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.hasDefault" title="pyspark.ml.feature.PCAModel.hasDefault"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hasDefault</span></code></a>(param)</p></td>
 <td><p>Checks whether a param has a default value.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.hasParam" title="pyspark.ml.feature.PCAModel.hasParam"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hasParam</span></code></a>(paramName)</p></td>
 <td><p>Tests whether this instance contains a param with a given (string) name.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.isDefined" title="pyspark.ml.feature.PCAModel.isDefined"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isDefined</span></code></a>(param)</p></td>
 <td><p>Checks whether a param is explicitly set by user or has a default value.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.isSet" title="pyspark.ml.feature.PCAModel.isSet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isSet</span></code></a>(param)</p></td>
 <td><p>Checks whether a param is explicitly set by user.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.load" title="pyspark.ml.feature.PCAModel.load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load</span></code></a>(path)</p></td>
 <td><p>Reads an ML instance from the input path, a shortcut of <cite>read().load(path)</cite>.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.read" title="pyspark.ml.feature.PCAModel.read"><code class="xref py py-obj docutils literal notranslate"><span class="pre">read</span></code></a>()</p></td>
 <td><p>Returns an MLReader instance for this class.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.save" title="pyspark.ml.feature.PCAModel.save"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save</span></code></a>(path)</p></td>
 <td><p>Save this ML instance to the given path, a shortcut of ‘write().save(path)’.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.set" title="pyspark.ml.feature.PCAModel.set"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set</span></code></a>(param, value)</p></td>
 <td><p>Sets a parameter in the embedded param map.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.setInputCol" title="pyspark.ml.feature.PCAModel.setInputCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setInputCol</span></code></a>(value)</p></td>
 <td><p>Sets the value of <a class="reference internal" href="#pyspark.ml.feature.PCAModel.inputCol" title="pyspark.ml.feature.PCAModel.inputCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">inputCol</span></code></a>.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.setOutputCol" title="pyspark.ml.feature.PCAModel.setOutputCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setOutputCol</span></code></a>(value)</p></td>
 <td><p>Sets the value of <a class="reference internal" href="#pyspark.ml.feature.PCAModel.outputCol" title="pyspark.ml.feature.PCAModel.outputCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">outputCol</span></code></a>.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.transform" title="pyspark.ml.feature.PCAModel.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(dataset[, params])</p></td>
 <td><p>Transforms the input dataset with optional parameters.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.write" title="pyspark.ml.feature.PCAModel.write"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write</span></code></a>()</p></td>
 <td><p>Returns an MLWriter instance for this ML instance.</p></td>
 </tr>
 </tbody>
 </table>
 <p class="rubric">Attributes</p>
 <table class="longtable table autosummary">
 <colgroup>
 <col style="width: 10%" />
 <col style="width: 90%" />
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.explainedVariance" title="pyspark.ml.feature.PCAModel.explainedVariance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">explainedVariance</span></code></a></p></td>
 <td><p>Returns a vector of proportions of variance explained by each principal component.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.inputCol" title="pyspark.ml.feature.PCAModel.inputCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputCol</span></code></a></p></td>
 <td><p></p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.k" title="pyspark.ml.feature.PCAModel.k"><code class="xref py py-obj docutils literal notranslate"><span class="pre">k</span></code></a></p></td>
 <td><p></p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.outputCol" title="pyspark.ml.feature.PCAModel.outputCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">outputCol</span></code></a></p></td>
 <td><p></p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.params" title="pyspark.ml.feature.PCAModel.params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">params</span></code></a></p></td>
 <td><p>Returns all params ordered by name.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.PCAModel.pc" title="pyspark.ml.feature.PCAModel.pc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pc</span></code></a></p></td>
 <td><p>Returns a principal components Matrix.</p></td>
 </tr>
 </tbody>
 </table>
 <p class="rubric">Methods Documentation</p>
 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.clear">
 <code class="sig-name descname">clear</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">param</span><span class="p">:</span> <span class="n"><a class="reference internal" href="pyspark.ml.param.Param.html#pyspark.ml.param.Param" title="pyspark.ml.param.Param">pyspark.ml.param.Param</a></span></em><span class="sig-paren">)</span> &#x2192; None<a class="headerlink" href="#pyspark.ml.feature.PCAModel.clear" title="Permalink to this definition">¶</a></dt>
 <dd><p>Clears a param from the param map if it has been explicitly set.</p>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.copy">
 <code class="sig-name descname">copy</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">extra</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>ParamMap<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em><span class="sig-paren">)</span> &#x2192; JP<a class="headerlink" href="#pyspark.ml.feature.PCAModel.copy" title="Permalink to this definition">¶</a></dt>
 <dd><p>Creates a copy of this instance with the same uid and some
 extra params. This implementation first calls Params.copy and
 then make a copy of the companion Java pipeline component with
 extra params. So both the Python wrapper and the Java pipeline
 component get copied.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><dl class="simple">
 <dt><strong>extra</strong><span class="classifier">dict, optional</span></dt><dd><p>Extra parameters to copy to the new instance</p>
 </dd>
 </dl>
 </dd>
 <dt class="field-even">Returns</dt>
 <dd class="field-even"><dl class="simple">
 <dt><code class="xref py py-class docutils literal notranslate"><span class="pre">JavaParams</span></code></dt><dd><p>Copy of this instance</p>
 </dd>
 </dl>
 </dd>
 </dl>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.explainParam">
 <code class="sig-name descname">explainParam</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">param</span><span class="p">:</span> <span class="n">Union<span class="p">[</span>str<span class="p">, </span><a class="reference internal" href="pyspark.ml.param.Param.html#pyspark.ml.param.Param" title="pyspark.ml.param.Param">pyspark.ml.param.Param</a><span class="p">]</span></span></em><span class="sig-paren">)</span> &#x2192; str<a class="headerlink" href="#pyspark.ml.feature.PCAModel.explainParam" title="Permalink to this definition">¶</a></dt>
 <dd><p>Explains a single param and returns its name, doc, and optional
 default value and user-supplied value in a string.</p>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.explainParams">
 <code class="sig-name descname">explainParams</code><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; str<a class="headerlink" href="#pyspark.ml.feature.PCAModel.explainParams" title="Permalink to this definition">¶</a></dt>
 <dd><p>Returns the documentation of all params with their optionally
 default values and user-supplied values.</p>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.extractParamMap">
 <code class="sig-name descname">extractParamMap</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">extra</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>ParamMap<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em><span class="sig-paren">)</span> &#x2192; ParamMap<a class="headerlink" href="#pyspark.ml.feature.PCAModel.extractParamMap" title="Permalink to this definition">¶</a></dt>
 <dd><p>Extracts the embedded default param values and user-supplied
 values, and then merges them with extra values from input into
 a flat param map, where the latter value is used if there exist
 conflicts, i.e., with ordering: default param values &lt;
 user-supplied values &lt; extra.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><dl class="simple">
 <dt><strong>extra</strong><span class="classifier">dict, optional</span></dt><dd><p>extra param values</p>
 </dd>
 </dl>
 </dd>
 <dt class="field-even">Returns</dt>
 <dd class="field-even"><dl class="simple">
 <dt>dict</dt><dd><p>merged param map</p>
 </dd>
 </dl>
 </dd>
 </dl>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.getInputCol">
 <code class="sig-name descname">getInputCol</code><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; str<a class="headerlink" href="#pyspark.ml.feature.PCAModel.getInputCol" title="Permalink to this definition">¶</a></dt>
 <dd><p>Gets the value of inputCol or its default value.</p>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.getK">
 <code class="sig-name descname">getK</code><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; int<a class="headerlink" href="#pyspark.ml.feature.PCAModel.getK" title="Permalink to this definition">¶</a></dt>
 <dd><p>Gets the value of k or its default value.</p>
 <div class="versionadded">
 <p><span class="versionmodified added">New in version 1.5.0.</span></p>
 </div>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.getOrDefault">
 <code class="sig-name descname">getOrDefault</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">param</span><span class="p">:</span> <span class="n">Union<span class="p">[</span>str<span class="p">, </span><a class="reference internal" href="pyspark.ml.param.Param.html#pyspark.ml.param.Param" title="pyspark.ml.param.Param">pyspark.ml.param.Param</a><span class="p">[</span>T<span class="p">]</span><span class="p">]</span></span></em><span class="sig-paren">)</span> &#x2192; Union<span class="p">[</span>Any<span class="p">, </span>T<span class="p">]</span><a class="headerlink" href="#pyspark.ml.feature.PCAModel.getOrDefault" title="Permalink to this definition">¶</a></dt>
 <dd><p>Gets the value of a param in the user-supplied param map or its
 default value. Raises an error if neither is set.</p>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.getOutputCol">
 <code class="sig-name descname">getOutputCol</code><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; str<a class="headerlink" href="#pyspark.ml.feature.PCAModel.getOutputCol" title="Permalink to this definition">¶</a></dt>
 <dd><p>Gets the value of outputCol or its default value.</p>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.getParam">
 <code class="sig-name descname">getParam</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">paramName</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> &#x2192; <a class="reference internal" href="pyspark.ml.param.Param.html#pyspark.ml.param.Param" title="pyspark.ml.param.Param">pyspark.ml.param.Param</a><a class="headerlink" href="#pyspark.ml.feature.PCAModel.getParam" title="Permalink to this definition">¶</a></dt>
 <dd><p>Gets a param by its name.</p>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.hasDefault">
 <code class="sig-name descname">hasDefault</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">param</span><span class="p">:</span> <span class="n">Union<span class="p">[</span>str<span class="p">, </span><a class="reference internal" href="pyspark.ml.param.Param.html#pyspark.ml.param.Param" title="pyspark.ml.param.Param">pyspark.ml.param.Param</a><span class="p">[</span>Any<span class="p">]</span><span class="p">]</span></span></em><span class="sig-paren">)</span> &#x2192; bool<a class="headerlink" href="#pyspark.ml.feature.PCAModel.hasDefault" title="Permalink to this definition">¶</a></dt>
 <dd><p>Checks whether a param has a default value.</p>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.hasParam">
 <code class="sig-name descname">hasParam</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">paramName</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> &#x2192; bool<a class="headerlink" href="#pyspark.ml.feature.PCAModel.hasParam" title="Permalink to this definition">¶</a></dt>
 <dd><p>Tests whether this instance contains a param with a given
 (string) name.</p>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.isDefined">
 <code class="sig-name descname">isDefined</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">param</span><span class="p">:</span> <span class="n">Union<span class="p">[</span>str<span class="p">, </span><a class="reference internal" href="pyspark.ml.param.Param.html#pyspark.ml.param.Param" title="pyspark.ml.param.Param">pyspark.ml.param.Param</a><span class="p">[</span>Any<span class="p">]</span><span class="p">]</span></span></em><span class="sig-paren">)</span> &#x2192; bool<a class="headerlink" href="#pyspark.ml.feature.PCAModel.isDefined" title="Permalink to this definition">¶</a></dt>
 <dd><p>Checks whether a param is explicitly set by user or has
 a default value.</p>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.isSet">
 <code class="sig-name descname">isSet</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">param</span><span class="p">:</span> <span class="n">Union<span class="p">[</span>str<span class="p">, </span><a class="reference internal" href="pyspark.ml.param.Param.html#pyspark.ml.param.Param" title="pyspark.ml.param.Param">pyspark.ml.param.Param</a><span class="p">[</span>Any<span class="p">]</span><span class="p">]</span></span></em><span class="sig-paren">)</span> &#x2192; bool<a class="headerlink" href="#pyspark.ml.feature.PCAModel.isSet" title="Permalink to this definition">¶</a></dt>
 <dd><p>Checks whether a param is explicitly set by user.</p>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.load">
 <em class="property">classmethod </em><code class="sig-name descname">load</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">path</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> &#x2192; RL<a class="headerlink" href="#pyspark.ml.feature.PCAModel.load" title="Permalink to this definition">¶</a></dt>
 <dd><p>Reads an ML instance from the input path, a shortcut of <cite>read().load(path)</cite>.</p>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.read">
 <em class="property">classmethod </em><code class="sig-name descname">read</code><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; pyspark.ml.util.JavaMLReader<span class="p">[</span>RL<span class="p">]</span><a class="headerlink" href="#pyspark.ml.feature.PCAModel.read" title="Permalink to this definition">¶</a></dt>
 <dd><p>Returns an MLReader instance for this class.</p>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.save">
 <code class="sig-name descname">save</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">path</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> &#x2192; None<a class="headerlink" href="#pyspark.ml.feature.PCAModel.save" title="Permalink to this definition">¶</a></dt>
 <dd><p>Save this ML instance to the given path, a shortcut of ‘write().save(path)’.</p>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.set">
 <code class="sig-name descname">set</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">param</span><span class="p">:</span> <span class="n"><a class="reference internal" href="pyspark.ml.param.Param.html#pyspark.ml.param.Param" title="pyspark.ml.param.Param">pyspark.ml.param.Param</a></span></em>, <em class="sig-param"><span class="n">value</span><span class="p">:</span> <span class="n">Any</span></em><span class="sig-paren">)</span> &#x2192; None<a class="headerlink" href="#pyspark.ml.feature.PCAModel.set" title="Permalink to this definition">¶</a></dt>
 <dd><p>Sets a parameter in the embedded param map.</p>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.setInputCol">
 <code class="sig-name descname">setInputCol</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">value</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> &#x2192; <a class="reference internal" href="#pyspark.ml.feature.PCAModel" title="pyspark.ml.feature.PCAModel">pyspark.ml.feature.PCAModel</a><a class="reference internal" href="../../_modules/pyspark/ml/feature.html#PCAModel.setInputCol"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.ml.feature.PCAModel.setInputCol" title="Permalink to this definition">¶</a></dt>
 <dd><p>Sets the value of <a class="reference internal" href="#pyspark.ml.feature.PCAModel.inputCol" title="pyspark.ml.feature.PCAModel.inputCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">inputCol</span></code></a>.</p>
 <div class="versionadded">
 <p><span class="versionmodified added">New in version 3.0.0.</span></p>
 </div>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.setOutputCol">
 <code class="sig-name descname">setOutputCol</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">value</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> &#x2192; <a class="reference internal" href="#pyspark.ml.feature.PCAModel" title="pyspark.ml.feature.PCAModel">pyspark.ml.feature.PCAModel</a><a class="reference internal" href="../../_modules/pyspark/ml/feature.html#PCAModel.setOutputCol"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.ml.feature.PCAModel.setOutputCol" title="Permalink to this definition">¶</a></dt>
 <dd><p>Sets the value of <a class="reference internal" href="#pyspark.ml.feature.PCAModel.outputCol" title="pyspark.ml.feature.PCAModel.outputCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">outputCol</span></code></a>.</p>
 <div class="versionadded">
 <p><span class="versionmodified added">New in version 3.0.0.</span></p>
 </div>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.transform">
 <code class="sig-name descname">transform</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dataset</span><span class="p">:</span> <span class="n">pyspark.sql.dataframe.DataFrame</span></em>, <em class="sig-param"><span class="n">params</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>ParamMap<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em><span class="sig-paren">)</span> &#x2192; pyspark.sql.dataframe.DataFrame<a class="headerlink" href="#pyspark.ml.feature.PCAModel.transform" title="Permalink to this definition">¶</a></dt>
 <dd><p>Transforms the input dataset with optional parameters.</p>
 <div class="versionadded">
 <p><span class="versionmodified added">New in version 1.3.0.</span></p>
 </div>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><dl>
 <dt><strong>dataset</strong><span class="classifier"><a class="reference internal" href="../pyspark.sql/api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyspark.sql.DataFrame</span></code></a></span></dt><dd><p>input dataset</p>
 </dd>
 <dt><strong>params</strong><span class="classifier">dict, optional</span></dt><dd><p>an optional param map that overrides embedded params.</p>
 </dd>
 </dl>
 </dd>
 <dt class="field-even">Returns</dt>
 <dd class="field-even"><dl class="simple">
 <dt><a class="reference internal" href="../pyspark.sql/api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyspark.sql.DataFrame</span></code></a></dt><dd><p>transformed dataset</p>
 </dd>
 </dl>
 </dd>
 </dl>
 </dd></dl>

 <dl class="py method">
 <dt id="pyspark.ml.feature.PCAModel.write">
 <code class="sig-name descname">write</code><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; pyspark.ml.util.JavaMLWriter<a class="headerlink" href="#pyspark.ml.feature.PCAModel.write" title="Permalink to this definition">¶</a></dt>
 <dd><p>Returns an MLWriter instance for this ML instance.</p>
 </dd></dl>

 <p class="rubric">Attributes Documentation</p>
 <dl class="py attribute">
 <dt id="pyspark.ml.feature.PCAModel.explainedVariance">
 <code class="sig-name descname">explainedVariance</code><a class="headerlink" href="#pyspark.ml.feature.PCAModel.explainedVariance" title="Permalink to this definition">¶</a></dt>
 <dd><p>Returns a vector of proportions of variance
 explained by each principal component.</p>
 <div class="versionadded">
 <p><span class="versionmodified added">New in version 2.0.0.</span></p>
 </div>
 </dd></dl>

 <dl class="py attribute">
 <dt id="pyspark.ml.feature.PCAModel.inputCol">
 <code class="sig-name descname">inputCol</code><em class="property"> = Param(parent='undefined', name='inputCol', doc='input column name.')</em><a class="headerlink" href="#pyspark.ml.feature.PCAModel.inputCol" title="Permalink to this definition">¶</a></dt>
 <dd></dd></dl>

 <dl class="py attribute">
 <dt id="pyspark.ml.feature.PCAModel.k">
 <code class="sig-name descname">k</code><em class="property">: pyspark.ml.param.Param[int]</em><em class="property"> = Param(parent='undefined', name='k', doc='the number of principal components')</em><a class="headerlink" href="#pyspark.ml.feature.PCAModel.k" title="Permalink to this definition">¶</a></dt>
 <dd></dd></dl>

 <dl class="py attribute">
 <dt id="pyspark.ml.feature.PCAModel.outputCol">
 <code class="sig-name descname">outputCol</code><em class="property"> = Param(parent='undefined', name='outputCol', doc='output column name.')</em><a class="headerlink" href="#pyspark.ml.feature.PCAModel.outputCol" title="Permalink to this definition">¶</a></dt>
 <dd></dd></dl>

 <dl class="py attribute">
 <dt id="pyspark.ml.feature.PCAModel.params">
 <code class="sig-name descname">params</code><a class="headerlink" href="#pyspark.ml.feature.PCAModel.params" title="Permalink to this definition">¶</a></dt>
 <dd><p>Returns all params ordered by name. The default implementation
 uses <code class="xref py py-func docutils literal notranslate"><span class="pre">dir()</span></code> to get all attributes of type
 <code class="xref py py-class docutils literal notranslate"><span class="pre">Param</span></code>.</p>
 </dd></dl>

 <dl class="py attribute">
 <dt id="pyspark.ml.feature.PCAModel.pc">
 <code class="sig-name descname">pc</code><a class="headerlink" href="#pyspark.ml.feature.PCAModel.pc" title="Permalink to this definition">¶</a></dt>
 <dd><p>Returns a principal components Matrix.
 Each column is one principal component.</p>
 <div class="versionadded">
 <p><span class="versionmodified added">New in version 2.0.0.</span></p>
 </div>
 </dd></dl>

 </dd></dl>

 </div>


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