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| <div class="section" id="countvectorizermodel"> |
| <h1>CountVectorizerModel<a class="headerlink" href="#countvectorizermodel" title="Permalink to this headline">¶</a></h1> |
| <dl class="py class"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel"> |
| <em class="property">class </em><code class="sig-prename descclassname">pyspark.ml.feature.</code><code class="sig-name descname">CountVectorizerModel</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">java_model</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#CountVectorizerModel"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Model fitted by <a class="reference internal" href="pyspark.ml.feature.CountVectorizer.html#pyspark.ml.feature.CountVectorizer" title="pyspark.ml.feature.CountVectorizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">CountVectorizer</span></code></a>.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 1.6.0.</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.CountVectorizerModel.clear" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.copy" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.explainParam" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.explainParams" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.extractParamMap" title="pyspark.ml.feature.CountVectorizerModel.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 < user-supplied values < extra.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.from_vocabulary" title="pyspark.ml.feature.CountVectorizerModel.from_vocabulary"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_vocabulary</span></code></a>(vocabulary, inputCol[, …])</p></td> |
| <td><p>Construct the model directly from a vocabulary list of strings, requires an active SparkContext.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.getBinary" title="pyspark.ml.feature.CountVectorizerModel.getBinary"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getBinary</span></code></a>()</p></td> |
| <td><p>Gets the value of binary or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.getInputCol" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.getMaxDF" title="pyspark.ml.feature.CountVectorizerModel.getMaxDF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getMaxDF</span></code></a>()</p></td> |
| <td><p>Gets the value of maxDF or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.getMinDF" title="pyspark.ml.feature.CountVectorizerModel.getMinDF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getMinDF</span></code></a>()</p></td> |
| <td><p>Gets the value of minDF or its default value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.getMinTF" title="pyspark.ml.feature.CountVectorizerModel.getMinTF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getMinTF</span></code></a>()</p></td> |
| <td><p>Gets the value of minTF or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.getOrDefault" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.getOutputCol" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.getParam" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.getVocabSize" title="pyspark.ml.feature.CountVectorizerModel.getVocabSize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getVocabSize</span></code></a>()</p></td> |
| <td><p>Gets the value of vocabSize or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.hasDefault" title="pyspark.ml.feature.CountVectorizerModel.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-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.hasParam" title="pyspark.ml.feature.CountVectorizerModel.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-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.isDefined" title="pyspark.ml.feature.CountVectorizerModel.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-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.isSet" title="pyspark.ml.feature.CountVectorizerModel.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-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.load" title="pyspark.ml.feature.CountVectorizerModel.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-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.read" title="pyspark.ml.feature.CountVectorizerModel.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-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.save" title="pyspark.ml.feature.CountVectorizerModel.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-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.set" title="pyspark.ml.feature.CountVectorizerModel.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-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.setBinary" title="pyspark.ml.feature.CountVectorizerModel.setBinary"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setBinary</span></code></a>(value)</p></td> |
| <td><p>Sets the value of <a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.binary" title="pyspark.ml.feature.CountVectorizerModel.binary"><code class="xref py py-attr docutils literal notranslate"><span class="pre">binary</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.setInputCol" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.inputCol" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.setMinTF" title="pyspark.ml.feature.CountVectorizerModel.setMinTF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setMinTF</span></code></a>(value)</p></td> |
| <td><p>Sets the value of <a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.minTF" title="pyspark.ml.feature.CountVectorizerModel.minTF"><code class="xref py py-attr docutils literal notranslate"><span class="pre">minTF</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.setOutputCol" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.outputCol" title="pyspark.ml.feature.CountVectorizerModel.outputCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">outputCol</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.transform" title="pyspark.ml.feature.CountVectorizerModel.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-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.write" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.binary" title="pyspark.ml.feature.CountVectorizerModel.binary"><code class="xref py py-obj docutils literal notranslate"><span class="pre">binary</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.inputCol" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.maxDF" title="pyspark.ml.feature.CountVectorizerModel.maxDF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">maxDF</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.minDF" title="pyspark.ml.feature.CountVectorizerModel.minDF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">minDF</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.minTF" title="pyspark.ml.feature.CountVectorizerModel.minTF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">minTF</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.outputCol" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.params" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.vocabSize" title="pyspark.ml.feature.CountVectorizerModel.vocabSize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">vocabSize</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.vocabulary" title="pyspark.ml.feature.CountVectorizerModel.vocabulary"><code class="xref py py-obj docutils literal notranslate"><span class="pre">vocabulary</span></code></a></p></td> |
| <td><p>An array of terms in the vocabulary.</p></td> |
| </tr> |
| </tbody> |
| </table> |
| <p class="rubric">Methods Documentation</p> |
| <dl class="py method"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.clear"> |
| <code class="sig-name descname">clear</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">param</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.copy"> |
| <code class="sig-name descname">copy</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">extra</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.explainParam"> |
| <code class="sig-name descname">explainParam</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">param</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.explainParams"> |
| <code class="sig-name descname">explainParams</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.extractParamMap"> |
| <code class="sig-name descname">extractParamMap</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">extra</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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 < |
| user-supplied values < 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.CountVectorizerModel.from_vocabulary"> |
| <em class="property">classmethod </em><code class="sig-name descname">from_vocabulary</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">vocabulary</span></em>, <em class="sig-param"><span class="n">inputCol</span></em>, <em class="sig-param"><span class="n">outputCol</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">minTF</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">binary</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#CountVectorizerModel.from_vocabulary"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.from_vocabulary" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Construct the model directly from a vocabulary list of strings, |
| requires an active SparkContext.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.4.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.getBinary"> |
| <code class="sig-name descname">getBinary</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.getBinary" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of binary or its default value.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.getInputCol"> |
| <code class="sig-name descname">getInputCol</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.getMaxDF"> |
| <code class="sig-name descname">getMaxDF</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.getMaxDF" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of maxDF or its default value.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.4.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.getMinDF"> |
| <code class="sig-name descname">getMinDF</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.getMinDF" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of minDF or its default value.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 1.6.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.getMinTF"> |
| <code class="sig-name descname">getMinTF</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.getMinTF" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of minTF or its default value.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 1.6.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.getOrDefault"> |
| <code class="sig-name descname">getOrDefault</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">param</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.getOutputCol"> |
| <code class="sig-name descname">getOutputCol</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.getParam"> |
| <code class="sig-name descname">getParam</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">paramName</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.getVocabSize"> |
| <code class="sig-name descname">getVocabSize</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.getVocabSize" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of vocabSize or its default value.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 1.6.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.hasDefault"> |
| <code class="sig-name descname">hasDefault</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">param</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.hasParam"> |
| <code class="sig-name descname">hasParam</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">paramName</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.isDefined"> |
| <code class="sig-name descname">isDefined</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">param</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.isSet"> |
| <code class="sig-name descname">isSet</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">param</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.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></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.read"> |
| <em class="property">classmethod </em><code class="sig-name descname">read</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.save"> |
| <code class="sig-name descname">save</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">path</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.set"> |
| <code class="sig-name descname">set</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">param</span></em>, <em class="sig-param"><span class="n">value</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.setBinary"> |
| <code class="sig-name descname">setBinary</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">value</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/pyspark/ml/feature.html#CountVectorizerModel.setBinary"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.setBinary" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Sets the value of <a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.binary" title="pyspark.ml.feature.CountVectorizerModel.binary"><code class="xref py py-attr docutils literal notranslate"><span class="pre">binary</span></code></a>.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.4.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.setInputCol"> |
| <code class="sig-name descname">setInputCol</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">value</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/pyspark/ml/feature.html#CountVectorizerModel.setInputCol"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.setInputCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Sets the value of <a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.inputCol" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.setMinTF"> |
| <code class="sig-name descname">setMinTF</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">value</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/pyspark/ml/feature.html#CountVectorizerModel.setMinTF"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.setMinTF" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Sets the value of <a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.minTF" title="pyspark.ml.feature.CountVectorizerModel.minTF"><code class="xref py py-attr docutils literal notranslate"><span class="pre">minTF</span></code></a>.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.4.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.setOutputCol"> |
| <code class="sig-name descname">setOutputCol</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">value</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/pyspark/ml/feature.html#CountVectorizerModel.setOutputCol"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.setOutputCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Sets the value of <a class="reference internal" href="#pyspark.ml.feature.CountVectorizerModel.outputCol" title="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.transform"> |
| <code class="sig-name descname">transform</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dataset</span></em>, <em class="sig-param"><span class="n">params</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.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.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.CountVectorizerModel.write"> |
| <code class="sig-name descname">write</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.binary"> |
| <code class="sig-name descname">binary</code><em class="property"> = Param(parent='undefined', name='binary', doc='Binary toggle to control the output vector values. If True, all nonzero counts (after minTF filter applied) are set to 1. This is useful for discrete probabilistic models that model binary events rather than integer counts. Default False')</em><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.binary" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.inputCol" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.maxDF"> |
| <code class="sig-name descname">maxDF</code><em class="property"> = Param(parent='undefined', name='maxDF', doc='Specifies the maximum number of different documents a term could appear in to be included in the vocabulary. A term that appears more than the threshold will be ignored. If this is an integer >= 1, this specifies the maximum number of documents the term could appear in; if this is a double in [0,1), then this specifies the maximum fraction of documents the term could appear in. Default (2^63) - 1')</em><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.maxDF" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.minDF"> |
| <code class="sig-name descname">minDF</code><em class="property"> = Param(parent='undefined', name='minDF', doc='Specifies the minimum number of different documents a term must appear in to be included in the vocabulary. If this is an integer >= 1, this specifies the number of documents the term must appear in; if this is a double in [0,1), then this specifies the fraction of documents. Default 1.0')</em><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.minDF" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.minTF"> |
| <code class="sig-name descname">minTF</code><em class="property"> = Param(parent='undefined', name='minTF', doc="Filter to ignore rare words in a document. For each document, terms with frequency/count less than the given threshold are ignored. If this is an integer >= 1, then this specifies a count (of times the term must appear in the document); if this is a double in [0,1), then this specifies a fraction (out of the document's token count). Note that the parameter is only used in transform of CountVectorizerModel and does not affect fitting. Default 1.0")</em><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.minTF" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.outputCol" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.params"> |
| <code class="sig-name descname">params</code><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.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.CountVectorizerModel.vocabSize"> |
| <code class="sig-name descname">vocabSize</code><em class="property"> = Param(parent='undefined', name='vocabSize', doc='max size of the vocabulary. Default 1 << 18.')</em><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.vocabSize" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.feature.CountVectorizerModel.vocabulary"> |
| <code class="sig-name descname">vocabulary</code><a class="headerlink" href="#pyspark.ml.feature.CountVectorizerModel.vocabulary" title="Permalink to this definition">¶</a></dt> |
| <dd><p>An array of terms in the vocabulary.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 1.6.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| </dd></dl> |
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