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| <div class="section" id="localldamodel"> |
| <h1>LocalLDAModel<a class="headerlink" href="#localldamodel" title="Permalink to this headline">¶</a></h1> |
| <dl class="py class"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel"> |
| <em class="property">class </em><code class="sig-prename descclassname">pyspark.ml.clustering.</code><code class="sig-name descname">LocalLDAModel</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/clustering.html#LocalLDAModel"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Local (non-distributed) model fitted by <a class="reference internal" href="pyspark.ml.clustering.LDA.html#pyspark.ml.clustering.LDA" title="pyspark.ml.clustering.LDA"><code class="xref py py-class docutils literal notranslate"><span class="pre">LDA</span></code></a>. |
| This model stores the inferred topics only; it does not store info about the training dataset.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</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.clustering.LocalLDAModel.clear" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.copy" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.describeTopics" title="pyspark.ml.clustering.LocalLDAModel.describeTopics"><code class="xref py py-obj docutils literal notranslate"><span class="pre">describeTopics</span></code></a>([maxTermsPerTopic])</p></td> |
| <td><p>Return the topics described by their top-weighted terms.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.estimatedDocConcentration" title="pyspark.ml.clustering.LocalLDAModel.estimatedDocConcentration"><code class="xref py py-obj docutils literal notranslate"><span class="pre">estimatedDocConcentration</span></code></a>()</p></td> |
| <td><p>Value for <a class="reference internal" href="pyspark.ml.clustering.LDA.html#pyspark.ml.clustering.LDA.docConcentration" title="pyspark.ml.clustering.LDA.docConcentration"><code class="xref py py-attr docutils literal notranslate"><span class="pre">LDA.docConcentration</span></code></a> estimated from data.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.explainParam" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.explainParams" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.extractParamMap" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.getCheckpointInterval" title="pyspark.ml.clustering.LocalLDAModel.getCheckpointInterval"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getCheckpointInterval</span></code></a>()</p></td> |
| <td><p>Gets the value of checkpointInterval or its default value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.getDocConcentration" title="pyspark.ml.clustering.LocalLDAModel.getDocConcentration"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getDocConcentration</span></code></a>()</p></td> |
| <td><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.docConcentration" title="pyspark.ml.clustering.LocalLDAModel.docConcentration"><code class="xref py py-attr docutils literal notranslate"><span class="pre">docConcentration</span></code></a> or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.getFeaturesCol" title="pyspark.ml.clustering.LocalLDAModel.getFeaturesCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getFeaturesCol</span></code></a>()</p></td> |
| <td><p>Gets the value of featuresCol or its default value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.getK" title="pyspark.ml.clustering.LocalLDAModel.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 <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.k" title="pyspark.ml.clustering.LocalLDAModel.k"><code class="xref py py-attr docutils literal notranslate"><span class="pre">k</span></code></a> or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.getKeepLastCheckpoint" title="pyspark.ml.clustering.LocalLDAModel.getKeepLastCheckpoint"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getKeepLastCheckpoint</span></code></a>()</p></td> |
| <td><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.keepLastCheckpoint" title="pyspark.ml.clustering.LocalLDAModel.keepLastCheckpoint"><code class="xref py py-attr docutils literal notranslate"><span class="pre">keepLastCheckpoint</span></code></a> or its default value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.getLearningDecay" title="pyspark.ml.clustering.LocalLDAModel.getLearningDecay"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getLearningDecay</span></code></a>()</p></td> |
| <td><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.learningDecay" title="pyspark.ml.clustering.LocalLDAModel.learningDecay"><code class="xref py py-attr docutils literal notranslate"><span class="pre">learningDecay</span></code></a> or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.getLearningOffset" title="pyspark.ml.clustering.LocalLDAModel.getLearningOffset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getLearningOffset</span></code></a>()</p></td> |
| <td><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.learningOffset" title="pyspark.ml.clustering.LocalLDAModel.learningOffset"><code class="xref py py-attr docutils literal notranslate"><span class="pre">learningOffset</span></code></a> or its default value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.getMaxIter" title="pyspark.ml.clustering.LocalLDAModel.getMaxIter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getMaxIter</span></code></a>()</p></td> |
| <td><p>Gets the value of maxIter or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.getOptimizeDocConcentration" title="pyspark.ml.clustering.LocalLDAModel.getOptimizeDocConcentration"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getOptimizeDocConcentration</span></code></a>()</p></td> |
| <td><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.optimizeDocConcentration" title="pyspark.ml.clustering.LocalLDAModel.optimizeDocConcentration"><code class="xref py py-attr docutils literal notranslate"><span class="pre">optimizeDocConcentration</span></code></a> or its default value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.getOptimizer" title="pyspark.ml.clustering.LocalLDAModel.getOptimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getOptimizer</span></code></a>()</p></td> |
| <td><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.optimizer" title="pyspark.ml.clustering.LocalLDAModel.optimizer"><code class="xref py py-attr docutils literal notranslate"><span class="pre">optimizer</span></code></a> or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.getOrDefault" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.getParam" title="pyspark.ml.clustering.LocalLDAModel.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-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.getSeed" title="pyspark.ml.clustering.LocalLDAModel.getSeed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getSeed</span></code></a>()</p></td> |
| <td><p>Gets the value of seed or its default value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.getSubsamplingRate" title="pyspark.ml.clustering.LocalLDAModel.getSubsamplingRate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getSubsamplingRate</span></code></a>()</p></td> |
| <td><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.subsamplingRate" title="pyspark.ml.clustering.LocalLDAModel.subsamplingRate"><code class="xref py py-attr docutils literal notranslate"><span class="pre">subsamplingRate</span></code></a> or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.getTopicConcentration" title="pyspark.ml.clustering.LocalLDAModel.getTopicConcentration"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getTopicConcentration</span></code></a>()</p></td> |
| <td><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.topicConcentration" title="pyspark.ml.clustering.LocalLDAModel.topicConcentration"><code class="xref py py-attr docutils literal notranslate"><span class="pre">topicConcentration</span></code></a> or its default value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.getTopicDistributionCol" title="pyspark.ml.clustering.LocalLDAModel.getTopicDistributionCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getTopicDistributionCol</span></code></a>()</p></td> |
| <td><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.topicDistributionCol" title="pyspark.ml.clustering.LocalLDAModel.topicDistributionCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">topicDistributionCol</span></code></a> or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.hasDefault" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.hasParam" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.isDefined" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.isDistributed" title="pyspark.ml.clustering.LocalLDAModel.isDistributed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isDistributed</span></code></a>()</p></td> |
| <td><p>Indicates whether this instance is of type DistributedLDAModel</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.isSet" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.load" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.logLikelihood" title="pyspark.ml.clustering.LocalLDAModel.logLikelihood"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logLikelihood</span></code></a>(dataset)</p></td> |
| <td><p>Calculates a lower bound on the log likelihood of the entire corpus.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.logPerplexity" title="pyspark.ml.clustering.LocalLDAModel.logPerplexity"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logPerplexity</span></code></a>(dataset)</p></td> |
| <td><p>Calculate an upper bound on perplexity.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.read" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.save" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.set" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.setFeaturesCol" title="pyspark.ml.clustering.LocalLDAModel.setFeaturesCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setFeaturesCol</span></code></a>(value)</p></td> |
| <td><p>Sets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.featuresCol" title="pyspark.ml.clustering.LocalLDAModel.featuresCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">featuresCol</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.setSeed" title="pyspark.ml.clustering.LocalLDAModel.setSeed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setSeed</span></code></a>(value)</p></td> |
| <td><p>Sets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.seed" title="pyspark.ml.clustering.LocalLDAModel.seed"><code class="xref py py-attr docutils literal notranslate"><span class="pre">seed</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.setTopicDistributionCol" title="pyspark.ml.clustering.LocalLDAModel.setTopicDistributionCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setTopicDistributionCol</span></code></a>(value)</p></td> |
| <td><p>Sets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.topicDistributionCol" title="pyspark.ml.clustering.LocalLDAModel.topicDistributionCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">topicDistributionCol</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.topicsMatrix" title="pyspark.ml.clustering.LocalLDAModel.topicsMatrix"><code class="xref py py-obj docutils literal notranslate"><span class="pre">topicsMatrix</span></code></a>()</p></td> |
| <td><p>Inferred topics, where each topic is represented by a distribution over terms.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.transform" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.vocabSize" title="pyspark.ml.clustering.LocalLDAModel.vocabSize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">vocabSize</span></code></a>()</p></td> |
| <td><p>Vocabulary size (number of terms or words in the vocabulary)</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.write" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.checkpointInterval" title="pyspark.ml.clustering.LocalLDAModel.checkpointInterval"><code class="xref py py-obj docutils literal notranslate"><span class="pre">checkpointInterval</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.docConcentration" title="pyspark.ml.clustering.LocalLDAModel.docConcentration"><code class="xref py py-obj docutils literal notranslate"><span class="pre">docConcentration</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.featuresCol" title="pyspark.ml.clustering.LocalLDAModel.featuresCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">featuresCol</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.k" title="pyspark.ml.clustering.LocalLDAModel.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-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.keepLastCheckpoint" title="pyspark.ml.clustering.LocalLDAModel.keepLastCheckpoint"><code class="xref py py-obj docutils literal notranslate"><span class="pre">keepLastCheckpoint</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.learningDecay" title="pyspark.ml.clustering.LocalLDAModel.learningDecay"><code class="xref py py-obj docutils literal notranslate"><span class="pre">learningDecay</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.learningOffset" title="pyspark.ml.clustering.LocalLDAModel.learningOffset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">learningOffset</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.maxIter" title="pyspark.ml.clustering.LocalLDAModel.maxIter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">maxIter</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.optimizeDocConcentration" title="pyspark.ml.clustering.LocalLDAModel.optimizeDocConcentration"><code class="xref py py-obj docutils literal notranslate"><span class="pre">optimizeDocConcentration</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.optimizer" title="pyspark.ml.clustering.LocalLDAModel.optimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">optimizer</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.params" title="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.seed" title="pyspark.ml.clustering.LocalLDAModel.seed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">seed</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.subsamplingRate" title="pyspark.ml.clustering.LocalLDAModel.subsamplingRate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">subsamplingRate</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.topicConcentration" title="pyspark.ml.clustering.LocalLDAModel.topicConcentration"><code class="xref py py-obj docutils literal notranslate"><span class="pre">topicConcentration</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.topicDistributionCol" title="pyspark.ml.clustering.LocalLDAModel.topicDistributionCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">topicDistributionCol</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| </tbody> |
| </table> |
| <p class="rubric">Methods Documentation</p> |
| <dl class="py method"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.describeTopics"> |
| <code class="sig-name descname">describeTopics</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">maxTermsPerTopic</span><span class="o">=</span><span class="default_value">10</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.describeTopics" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Return the topics described by their top-weighted terms.</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.clustering.LocalLDAModel.estimatedDocConcentration"> |
| <code class="sig-name descname">estimatedDocConcentration</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.estimatedDocConcentration" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Value for <a class="reference internal" href="pyspark.ml.clustering.LDA.html#pyspark.ml.clustering.LDA.docConcentration" title="pyspark.ml.clustering.LDA.docConcentration"><code class="xref py py-attr docutils literal notranslate"><span class="pre">LDA.docConcentration</span></code></a> estimated from data. |
| If Online LDA was used and <a class="reference internal" href="pyspark.ml.clustering.LDA.html#pyspark.ml.clustering.LDA.optimizeDocConcentration" title="pyspark.ml.clustering.LDA.optimizeDocConcentration"><code class="xref py py-attr docutils literal notranslate"><span class="pre">LDA.optimizeDocConcentration</span></code></a> was set to false, |
| then this returns the fixed (given) value for the <a class="reference internal" href="pyspark.ml.clustering.LDA.html#pyspark.ml.clustering.LDA.docConcentration" title="pyspark.ml.clustering.LDA.docConcentration"><code class="xref py py-attr docutils literal notranslate"><span class="pre">LDA.docConcentration</span></code></a> parameter.</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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.explainParams"> |
| <code class="sig-name descname">explainParams</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.getCheckpointInterval"> |
| <code class="sig-name descname">getCheckpointInterval</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.getCheckpointInterval" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of checkpointInterval or its default value.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.getDocConcentration"> |
| <code class="sig-name descname">getDocConcentration</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.getDocConcentration" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.docConcentration" title="pyspark.ml.clustering.LocalLDAModel.docConcentration"><code class="xref py py-attr docutils literal notranslate"><span class="pre">docConcentration</span></code></a> 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.clustering.LocalLDAModel.getFeaturesCol"> |
| <code class="sig-name descname">getFeaturesCol</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.getFeaturesCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of featuresCol or its default value.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.getK"> |
| <code class="sig-name descname">getK</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.getK" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.k" title="pyspark.ml.clustering.LocalLDAModel.k"><code class="xref py py-attr docutils literal notranslate"><span class="pre">k</span></code></a> 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.clustering.LocalLDAModel.getKeepLastCheckpoint"> |
| <code class="sig-name descname">getKeepLastCheckpoint</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.getKeepLastCheckpoint" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.keepLastCheckpoint" title="pyspark.ml.clustering.LocalLDAModel.keepLastCheckpoint"><code class="xref py py-attr docutils literal notranslate"><span class="pre">keepLastCheckpoint</span></code></a> 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.clustering.LocalLDAModel.getLearningDecay"> |
| <code class="sig-name descname">getLearningDecay</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.getLearningDecay" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.learningDecay" title="pyspark.ml.clustering.LocalLDAModel.learningDecay"><code class="xref py py-attr docutils literal notranslate"><span class="pre">learningDecay</span></code></a> 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.clustering.LocalLDAModel.getLearningOffset"> |
| <code class="sig-name descname">getLearningOffset</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.getLearningOffset" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.learningOffset" title="pyspark.ml.clustering.LocalLDAModel.learningOffset"><code class="xref py py-attr docutils literal notranslate"><span class="pre">learningOffset</span></code></a> 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.clustering.LocalLDAModel.getMaxIter"> |
| <code class="sig-name descname">getMaxIter</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.getMaxIter" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of maxIter or its default value.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.getOptimizeDocConcentration"> |
| <code class="sig-name descname">getOptimizeDocConcentration</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.getOptimizeDocConcentration" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.optimizeDocConcentration" title="pyspark.ml.clustering.LocalLDAModel.optimizeDocConcentration"><code class="xref py py-attr docutils literal notranslate"><span class="pre">optimizeDocConcentration</span></code></a> 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.clustering.LocalLDAModel.getOptimizer"> |
| <code class="sig-name descname">getOptimizer</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.getOptimizer" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.optimizer" title="pyspark.ml.clustering.LocalLDAModel.optimizer"><code class="xref py py-attr docutils literal notranslate"><span class="pre">optimizer</span></code></a> 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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.getSeed"> |
| <code class="sig-name descname">getSeed</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.getSeed" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of seed or its default value.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.getSubsamplingRate"> |
| <code class="sig-name descname">getSubsamplingRate</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.getSubsamplingRate" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.subsamplingRate" title="pyspark.ml.clustering.LocalLDAModel.subsamplingRate"><code class="xref py py-attr docutils literal notranslate"><span class="pre">subsamplingRate</span></code></a> 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.clustering.LocalLDAModel.getTopicConcentration"> |
| <code class="sig-name descname">getTopicConcentration</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.getTopicConcentration" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.topicConcentration" title="pyspark.ml.clustering.LocalLDAModel.topicConcentration"><code class="xref py py-attr docutils literal notranslate"><span class="pre">topicConcentration</span></code></a> 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.clustering.LocalLDAModel.getTopicDistributionCol"> |
| <code class="sig-name descname">getTopicDistributionCol</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.getTopicDistributionCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.topicDistributionCol" title="pyspark.ml.clustering.LocalLDAModel.topicDistributionCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">topicDistributionCol</span></code></a> 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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.isDistributed"> |
| <code class="sig-name descname">isDistributed</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.isDistributed" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Indicates whether this instance is of type DistributedLDAModel</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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.logLikelihood"> |
| <code class="sig-name descname">logLikelihood</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dataset</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.logLikelihood" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Calculates a lower bound on the log likelihood of the entire corpus. |
| See Equation (16) in the Online LDA paper (Hoffman et al., 2010).</p> |
| <div class="admonition warning"> |
| <p class="admonition-title">Warning</p> |
| <p>If this model is an instance of <a class="reference internal" href="pyspark.ml.clustering.DistributedLDAModel.html#pyspark.ml.clustering.DistributedLDAModel" title="pyspark.ml.clustering.DistributedLDAModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">DistributedLDAModel</span></code></a> (produced when |
| <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.optimizer" title="pyspark.ml.clustering.LocalLDAModel.optimizer"><code class="xref py py-attr docutils literal notranslate"><span class="pre">optimizer</span></code></a> is set to “em”), this involves collecting a large |
| <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.topicsMatrix" title="pyspark.ml.clustering.LocalLDAModel.topicsMatrix"><code class="xref py py-func docutils literal notranslate"><span class="pre">topicsMatrix()</span></code></a> to the driver. This implementation may be changed in the future.</p> |
| </div> |
| <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.clustering.LocalLDAModel.logPerplexity"> |
| <code class="sig-name descname">logPerplexity</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dataset</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.logPerplexity" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Calculate an upper bound on perplexity. (Lower is better.) |
| See Equation (16) in the Online LDA paper (Hoffman et al., 2010).</p> |
| <div class="admonition warning"> |
| <p class="admonition-title">Warning</p> |
| <p>If this model is an instance of <a class="reference internal" href="pyspark.ml.clustering.DistributedLDAModel.html#pyspark.ml.clustering.DistributedLDAModel" title="pyspark.ml.clustering.DistributedLDAModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">DistributedLDAModel</span></code></a> (produced when |
| <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.optimizer" title="pyspark.ml.clustering.LocalLDAModel.optimizer"><code class="xref py py-attr docutils literal notranslate"><span class="pre">optimizer</span></code></a> is set to “em”), this involves collecting a large |
| <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.topicsMatrix" title="pyspark.ml.clustering.LocalLDAModel.topicsMatrix"><code class="xref py py-func docutils literal notranslate"><span class="pre">topicsMatrix()</span></code></a> to the driver. This implementation may be changed in the future.</p> |
| </div> |
| <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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.setFeaturesCol"> |
| <code class="sig-name descname">setFeaturesCol</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">value</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.setFeaturesCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Sets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.featuresCol" title="pyspark.ml.clustering.LocalLDAModel.featuresCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">featuresCol</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.clustering.LocalLDAModel.setSeed"> |
| <code class="sig-name descname">setSeed</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">value</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.setSeed" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Sets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.seed" title="pyspark.ml.clustering.LocalLDAModel.seed"><code class="xref py py-attr docutils literal notranslate"><span class="pre">seed</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.clustering.LocalLDAModel.setTopicDistributionCol"> |
| <code class="sig-name descname">setTopicDistributionCol</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">value</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.setTopicDistributionCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Sets the value of <a class="reference internal" href="#pyspark.ml.clustering.LocalLDAModel.topicDistributionCol" title="pyspark.ml.clustering.LocalLDAModel.topicDistributionCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">topicDistributionCol</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.clustering.LocalLDAModel.topicsMatrix"> |
| <code class="sig-name descname">topicsMatrix</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.topicsMatrix" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Inferred topics, where each topic is represented by a distribution over terms. |
| This is a matrix of size vocabSize x k, where each column is a topic. |
| No guarantees are given about the ordering of the topics.</p> |
| <div class="admonition warning"> |
| <p class="admonition-title">Warning</p> |
| <p>If this model is actually a <a class="reference internal" href="pyspark.ml.clustering.DistributedLDAModel.html#pyspark.ml.clustering.DistributedLDAModel" title="pyspark.ml.clustering.DistributedLDAModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">DistributedLDAModel</span></code></a> |
| instance produced by the Expectation-Maximization (“em”) <cite>optimizer</cite>, |
| then this method could involve collecting a large amount of data |
| to the driver (on the order of vocabSize x k).</p> |
| </div> |
| <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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.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.clustering.LocalLDAModel.vocabSize"> |
| <code class="sig-name descname">vocabSize</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.vocabSize" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Vocabulary size (number of terms or words in the vocabulary)</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.clustering.LocalLDAModel.write"> |
| <code class="sig-name descname">write</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.checkpointInterval"> |
| <code class="sig-name descname">checkpointInterval</code><em class="property"> = Param(parent='undefined', name='checkpointInterval', doc='set checkpoint interval (>= 1) or disable checkpoint (-1). E.g. 10 means that the cache will get checkpointed every 10 iterations. Note: this setting will be ignored if the checkpoint directory is not set in the SparkContext.')</em><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.checkpointInterval" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.docConcentration"> |
| <code class="sig-name descname">docConcentration</code><em class="property"> = Param(parent='undefined', name='docConcentration', doc='Concentration parameter (commonly named "alpha") for the prior placed on documents\' distributions over topics ("theta").')</em><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.docConcentration" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.featuresCol"> |
| <code class="sig-name descname">featuresCol</code><em class="property"> = Param(parent='undefined', name='featuresCol', doc='features column name.')</em><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.featuresCol" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.k"> |
| <code class="sig-name descname">k</code><em class="property"> = Param(parent='undefined', name='k', doc='The number of topics (clusters) to infer. Must be > 1.')</em><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.k" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.keepLastCheckpoint"> |
| <code class="sig-name descname">keepLastCheckpoint</code><em class="property"> = Param(parent='undefined', name='keepLastCheckpoint', doc='(For EM optimizer) If using checkpointing, this indicates whether to keep the last checkpoint. If false, then the checkpoint will be deleted. Deleting the checkpoint can cause failures if a data partition is lost, so set this bit with care.')</em><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.keepLastCheckpoint" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.learningDecay"> |
| <code class="sig-name descname">learningDecay</code><em class="property"> = Param(parent='undefined', name='learningDecay', doc='Learning rate, set as anexponential decay rate. This should be between (0.5, 1.0] to guarantee asymptotic convergence.')</em><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.learningDecay" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.learningOffset"> |
| <code class="sig-name descname">learningOffset</code><em class="property"> = Param(parent='undefined', name='learningOffset', doc='A (positive) learning parameter that downweights early iterations. Larger values make early iterations count less')</em><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.learningOffset" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.maxIter"> |
| <code class="sig-name descname">maxIter</code><em class="property"> = Param(parent='undefined', name='maxIter', doc='max number of iterations (>= 0).')</em><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.maxIter" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.optimizeDocConcentration"> |
| <code class="sig-name descname">optimizeDocConcentration</code><em class="property"> = Param(parent='undefined', name='optimizeDocConcentration', doc='Indicates whether the docConcentration (Dirichlet parameter for document-topic distribution) will be optimized during training.')</em><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.optimizeDocConcentration" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.optimizer"> |
| <code class="sig-name descname">optimizer</code><em class="property"> = Param(parent='undefined', name='optimizer', doc='Optimizer or inference algorithm used to estimate the LDA model. Supported: online, em')</em><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.optimizer" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.params"> |
| <code class="sig-name descname">params</code><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.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.clustering.LocalLDAModel.seed"> |
| <code class="sig-name descname">seed</code><em class="property"> = Param(parent='undefined', name='seed', doc='random seed.')</em><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.seed" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.subsamplingRate"> |
| <code class="sig-name descname">subsamplingRate</code><em class="property"> = Param(parent='undefined', name='subsamplingRate', doc='Fraction of the corpus to be sampled and used in each iteration of mini-batch gradient descent, in range (0, 1].')</em><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.subsamplingRate" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.topicConcentration"> |
| <code class="sig-name descname">topicConcentration</code><em class="property"> = Param(parent='undefined', name='topicConcentration', doc='Concentration parameter (commonly named "beta" or "eta") for the prior placed on topic\' distributions over terms.')</em><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.topicConcentration" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.clustering.LocalLDAModel.topicDistributionCol"> |
| <code class="sig-name descname">topicDistributionCol</code><em class="property"> = Param(parent='undefined', name='topicDistributionCol', doc='Output column with estimates of the topic mixture distribution for each document (often called "theta" in the literature). Returns a vector of zeros for an empty document.')</em><a class="headerlink" href="#pyspark.ml.clustering.LocalLDAModel.topicDistributionCol" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| </dd></dl> |
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