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| <div class="section" id="multilayerperceptronclassificationmodel"> |
| <h1>MultilayerPerceptronClassificationModel<a class="headerlink" href="#multilayerperceptronclassificationmodel" title="Permalink to this headline">¶</a></h1> |
| <dl class="py class"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel"> |
| <em class="property">class </em><code class="sig-prename descclassname">pyspark.ml.classification.</code><code class="sig-name descname">MultilayerPerceptronClassificationModel</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/classification.html#MultilayerPerceptronClassificationModel"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Model fitted by MultilayerPerceptronClassifier.</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.classification.MultilayerPerceptronClassificationModel.clear" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.copy" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.evaluate" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.evaluate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">evaluate</span></code></a>(dataset)</p></td> |
| <td><p>Evaluates the model on a test dataset.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.explainParam" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.explainParams" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.extractParamMap" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getBlockSize" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getBlockSize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getBlockSize</span></code></a>()</p></td> |
| <td><p>Gets the value of blockSize or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getFeaturesCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.getInitialWeights" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getInitialWeights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getInitialWeights</span></code></a>()</p></td> |
| <td><p>Gets the value of initialWeights or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getLabelCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getLabelCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getLabelCol</span></code></a>()</p></td> |
| <td><p>Gets the value of labelCol or its default value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getLayers" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getLayers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getLayers</span></code></a>()</p></td> |
| <td><p>Gets the value of layers or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getMaxIter" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getOrDefault" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getParam" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.getPredictionCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getPredictionCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getPredictionCol</span></code></a>()</p></td> |
| <td><p>Gets the value of predictionCol or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getProbabilityCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getProbabilityCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getProbabilityCol</span></code></a>()</p></td> |
| <td><p>Gets the value of probabilityCol or its default value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getRawPredictionCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getRawPredictionCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getRawPredictionCol</span></code></a>()</p></td> |
| <td><p>Gets the value of rawPredictionCol or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getSeed" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.getSolver" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getSolver"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getSolver</span></code></a>()</p></td> |
| <td><p>Gets the value of solver or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getStepSize" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getStepSize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getStepSize</span></code></a>()</p></td> |
| <td><p>Gets the value of stepSize or its default value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getThresholds" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getThresholds"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getThresholds</span></code></a>()</p></td> |
| <td><p>Gets the value of thresholds or its default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getTol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getTol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">getTol</span></code></a>()</p></td> |
| <td><p>Gets the value of tol or its default value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.hasDefault" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.hasDefault"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hasDefault</span></code></a>(param)</p></td> |
| <td><p>Checks whether a param has a default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.hasParam" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.hasParam"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hasParam</span></code></a>(paramName)</p></td> |
| <td><p>Tests whether this instance contains a param with a given (string) name.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.isDefined" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.isDefined"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isDefined</span></code></a>(param)</p></td> |
| <td><p>Checks whether a param is explicitly set by user or has a default value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.isSet" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.load" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.predict" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">predict</span></code></a>(value)</p></td> |
| <td><p>Predict label for the given features.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.predictProbability" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.predictProbability"><code class="xref py py-obj docutils literal notranslate"><span class="pre">predictProbability</span></code></a>(value)</p></td> |
| <td><p>Predict the probability of each class given the features.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.predictRaw" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.predictRaw"><code class="xref py py-obj docutils literal notranslate"><span class="pre">predictRaw</span></code></a>(value)</p></td> |
| <td><p>Raw prediction for each possible label.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.read" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.save" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.set" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.setFeaturesCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.featuresCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.featuresCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">featuresCol</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.setPredictionCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.setPredictionCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setPredictionCol</span></code></a>(value)</p></td> |
| <td><p>Sets the value of <a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.predictionCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.predictionCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">predictionCol</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.setProbabilityCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.setProbabilityCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setProbabilityCol</span></code></a>(value)</p></td> |
| <td><p>Sets the value of <a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.probabilityCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.probabilityCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">probabilityCol</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.setRawPredictionCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.setRawPredictionCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setRawPredictionCol</span></code></a>(value)</p></td> |
| <td><p>Sets the value of <a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.rawPredictionCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.rawPredictionCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">rawPredictionCol</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.setThresholds" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.setThresholds"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setThresholds</span></code></a>(value)</p></td> |
| <td><p>Sets the value of <a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.thresholds" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.thresholds"><code class="xref py py-attr docutils literal notranslate"><span class="pre">thresholds</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.summary" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.summary"><code class="xref py py-obj docutils literal notranslate"><span class="pre">summary</span></code></a>()</p></td> |
| <td><p>Gets summary (accuracy/precision/recall, objective history, total iterations) of model trained on the training set.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.transform" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.write" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.blockSize" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.blockSize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">blockSize</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.featuresCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.hasSummary" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.hasSummary"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hasSummary</span></code></a></p></td> |
| <td><p>Indicates whether a training summary exists for this model instance.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.initialWeights" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.initialWeights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">initialWeights</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.labelCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.labelCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">labelCol</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.layers" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">layers</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.maxIter" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.numClasses" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.numClasses"><code class="xref py py-obj docutils literal notranslate"><span class="pre">numClasses</span></code></a></p></td> |
| <td><p>Number of classes (values which the label can take).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.numFeatures" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.numFeatures"><code class="xref py py-obj docutils literal notranslate"><span class="pre">numFeatures</span></code></a></p></td> |
| <td><p>Returns the number of features the model was trained on.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.params" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.predictionCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.predictionCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">predictionCol</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.probabilityCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.probabilityCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">probabilityCol</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.rawPredictionCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.rawPredictionCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rawPredictionCol</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.seed" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.solver" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.solver"><code class="xref py py-obj docutils literal notranslate"><span class="pre">solver</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.stepSize" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.stepSize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stepSize</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.thresholds" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.thresholds"><code class="xref py py-obj docutils literal notranslate"><span class="pre">thresholds</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.tol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.tol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tol</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.weights" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">weights</span></code></a></p></td> |
| <td><p>the weights of layers.</p></td> |
| </tr> |
| </tbody> |
| </table> |
| <p class="rubric">Methods Documentation</p> |
| <dl class="py method"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.evaluate"> |
| <code class="sig-name descname">evaluate</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dataset</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/pyspark/ml/classification.html#MultilayerPerceptronClassificationModel.evaluate"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.evaluate" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Evaluates the model on a test dataset.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 3.1.0.</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>Test dataset to evaluate model on.</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.explainParams"> |
| <code class="sig-name descname">explainParams</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.getBlockSize"> |
| <code class="sig-name descname">getBlockSize</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getBlockSize" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of blockSize or its default value.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getFeaturesCol"> |
| <code class="sig-name descname">getFeaturesCol</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.getInitialWeights"> |
| <code class="sig-name descname">getInitialWeights</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getInitialWeights" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of initialWeights 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.classification.MultilayerPerceptronClassificationModel.getLabelCol"> |
| <code class="sig-name descname">getLabelCol</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getLabelCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of labelCol or its default value.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getLayers"> |
| <code class="sig-name descname">getLayers</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getLayers" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of layers 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.classification.MultilayerPerceptronClassificationModel.getMaxIter"> |
| <code class="sig-name descname">getMaxIter</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.getPredictionCol"> |
| <code class="sig-name descname">getPredictionCol</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getPredictionCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of predictionCol or its default value.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getProbabilityCol"> |
| <code class="sig-name descname">getProbabilityCol</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getProbabilityCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of probabilityCol or its default value.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getRawPredictionCol"> |
| <code class="sig-name descname">getRawPredictionCol</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getRawPredictionCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of rawPredictionCol or its default value.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getSeed"> |
| <code class="sig-name descname">getSeed</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.getSolver"> |
| <code class="sig-name descname">getSolver</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getSolver" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of solver or its default value.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getStepSize"> |
| <code class="sig-name descname">getStepSize</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getStepSize" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of stepSize or its default value.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getThresholds"> |
| <code class="sig-name descname">getThresholds</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getThresholds" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of thresholds or its default value.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.getTol"> |
| <code class="sig-name descname">getTol</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.getTol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets the value of tol or its default value.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.predict"> |
| <code class="sig-name descname">predict</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.classification.MultilayerPerceptronClassificationModel.predict" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Predict label for the given features.</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.classification.MultilayerPerceptronClassificationModel.predictProbability"> |
| <code class="sig-name descname">predictProbability</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.classification.MultilayerPerceptronClassificationModel.predictProbability" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Predict the probability of each class given the features.</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.classification.MultilayerPerceptronClassificationModel.predictRaw"> |
| <code class="sig-name descname">predictRaw</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.classification.MultilayerPerceptronClassificationModel.predictRaw" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Raw prediction for each possible label.</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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.setFeaturesCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Sets the value of <a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.featuresCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.setPredictionCol"> |
| <code class="sig-name descname">setPredictionCol</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.classification.MultilayerPerceptronClassificationModel.setPredictionCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Sets the value of <a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.predictionCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.predictionCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">predictionCol</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.classification.MultilayerPerceptronClassificationModel.setProbabilityCol"> |
| <code class="sig-name descname">setProbabilityCol</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.classification.MultilayerPerceptronClassificationModel.setProbabilityCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Sets the value of <a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.probabilityCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.probabilityCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">probabilityCol</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.classification.MultilayerPerceptronClassificationModel.setRawPredictionCol"> |
| <code class="sig-name descname">setRawPredictionCol</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.classification.MultilayerPerceptronClassificationModel.setRawPredictionCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Sets the value of <a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.rawPredictionCol" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.rawPredictionCol"><code class="xref py py-attr docutils literal notranslate"><span class="pre">rawPredictionCol</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.classification.MultilayerPerceptronClassificationModel.setThresholds"> |
| <code class="sig-name descname">setThresholds</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.classification.MultilayerPerceptronClassificationModel.setThresholds" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Sets the value of <a class="reference internal" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.thresholds" title="pyspark.ml.classification.MultilayerPerceptronClassificationModel.thresholds"><code class="xref py py-attr docutils literal notranslate"><span class="pre">thresholds</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.classification.MultilayerPerceptronClassificationModel.summary"> |
| <code class="sig-name descname">summary</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/pyspark/ml/classification.html#MultilayerPerceptronClassificationModel.summary"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.summary" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Gets summary (accuracy/precision/recall, objective history, total iterations) of model |
| trained on the training set. An exception is thrown if <cite>trainingSummary is None</cite>.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 3.1.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.write"> |
| <code class="sig-name descname">write</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.blockSize"> |
| <code class="sig-name descname">blockSize</code><em class="property"> = Param(parent='undefined', name='blockSize', doc='block size for stacking input data in matrices. Data is stacked within partitions. If block size is more than remaining data in a partition then it is adjusted to the size of this data.')</em><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.blockSize" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.featuresCol" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.hasSummary"> |
| <code class="sig-name descname">hasSummary</code><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.hasSummary" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Indicates whether a training summary exists for this model |
| instance.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.1.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.initialWeights"> |
| <code class="sig-name descname">initialWeights</code><em class="property"> = Param(parent='undefined', name='initialWeights', doc='The initial weights of the model.')</em><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.initialWeights" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.labelCol"> |
| <code class="sig-name descname">labelCol</code><em class="property"> = Param(parent='undefined', name='labelCol', doc='label column name.')</em><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.labelCol" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.layers"> |
| <code class="sig-name descname">layers</code><em class="property"> = Param(parent='undefined', name='layers', doc='Sizes of layers from input layer to output layer E.g., Array(780, 100, 10) means 780 inputs, one hidden layer with 100 neurons and output layer of 10 neurons.')</em><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.layers" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.maxIter" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.numClasses"> |
| <code class="sig-name descname">numClasses</code><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.numClasses" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Number of classes (values which the label can take).</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.1.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.numFeatures"> |
| <code class="sig-name descname">numFeatures</code><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.numFeatures" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns the number of features the model was trained on. If unknown, returns -1</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.1.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.params"> |
| <code class="sig-name descname">params</code><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.predictionCol"> |
| <code class="sig-name descname">predictionCol</code><em class="property"> = Param(parent='undefined', name='predictionCol', doc='prediction column name.')</em><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.predictionCol" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.probabilityCol"> |
| <code class="sig-name descname">probabilityCol</code><em class="property"> = Param(parent='undefined', name='probabilityCol', doc='Column name for predicted class conditional probabilities. Note: Not all models output well-calibrated probability estimates! These probabilities should be treated as confidences, not precise probabilities.')</em><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.probabilityCol" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.rawPredictionCol"> |
| <code class="sig-name descname">rawPredictionCol</code><em class="property"> = Param(parent='undefined', name='rawPredictionCol', doc='raw prediction (a.k.a. confidence) column name.')</em><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.rawPredictionCol" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.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.classification.MultilayerPerceptronClassificationModel.seed" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.solver"> |
| <code class="sig-name descname">solver</code><em class="property"> = Param(parent='undefined', name='solver', doc='The solver algorithm for optimization. Supported options: l-bfgs, gd.')</em><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.solver" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.stepSize"> |
| <code class="sig-name descname">stepSize</code><em class="property"> = Param(parent='undefined', name='stepSize', doc='Step size to be used for each iteration of optimization (>= 0).')</em><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.stepSize" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.thresholds"> |
| <code class="sig-name descname">thresholds</code><em class="property"> = Param(parent='undefined', name='thresholds', doc="Thresholds in multi-class classification to adjust the probability of predicting each class. Array must have length equal to the number of classes, with values > 0, excepting that at most one value may be 0. The class with largest value p/t is predicted, where p is the original probability of that class and t is the class's threshold.")</em><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.thresholds" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.tol"> |
| <code class="sig-name descname">tol</code><em class="property"> = Param(parent='undefined', name='tol', doc='the convergence tolerance for iterative algorithms (>= 0).')</em><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.tol" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.classification.MultilayerPerceptronClassificationModel.weights"> |
| <code class="sig-name descname">weights</code><a class="headerlink" href="#pyspark.ml.classification.MultilayerPerceptronClassificationModel.weights" title="Permalink to this definition">¶</a></dt> |
| <dd><p>the weights of layers.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| </dd></dl> |
| |
| </div> |
| |
| |
| </div> |
| |
| |
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