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<h1 title="Package" class="title">Package&nbsp;org.apache.spark.ml.classification</h1>
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<td class="colFirst"><a href="../../../../../org/apache/spark/ml/classification/LogisticRegressionSummary.html" title="interface in org.apache.spark.ml.classification">LogisticRegressionSummary</a></td>
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<div class="block">Abstraction for Logistic Regression Results for a given model.</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/ml/classification/LogisticRegressionTrainingSummary.html" title="interface in org.apache.spark.ml.classification">LogisticRegressionTrainingSummary</a></td>
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<div class="block">Abstraction for multinomial Logistic Regression Training results.</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/ml/classification/BinaryLogisticRegressionSummary.html" title="class in org.apache.spark.ml.classification">BinaryLogisticRegressionSummary</a></td>
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<div class="block">:: Experimental ::
 Binary Logistic regression results for a given model.</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/ml/classification/BinaryLogisticRegressionTrainingSummary.html" title="class in org.apache.spark.ml.classification">BinaryLogisticRegressionTrainingSummary</a></td>
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<div class="block">:: Experimental ::
 Logistic regression training results.</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/ml/classification/ClassificationModel.html" title="class in org.apache.spark.ml.classification">ClassificationModel</a>&lt;FeaturesType,M extends <a href="../../../../../org/apache/spark/ml/classification/ClassificationModel.html" title="class in org.apache.spark.ml.classification">ClassificationModel</a>&lt;FeaturesType,M&gt;&gt;</td>
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<td class="colFirst"><a href="../../../../../org/apache/spark/ml/classification/DecisionTreeClassificationModel.html" title="class in org.apache.spark.ml.classification">DecisionTreeClassificationModel</a></td>
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<div class="block">:: Experimental ::
 <code>Decision tree</code> model for classification.</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/ml/classification/DecisionTreeClassifier.html" title="class in org.apache.spark.ml.classification">DecisionTreeClassifier</a></td>
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<div class="block">:: Experimental ::
 <code>Decision tree</code> learning algorithm
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<td class="colFirst"><a href="../../../../../org/apache/spark/ml/classification/GBTClassificationModel.html" title="class in org.apache.spark.ml.classification">GBTClassificationModel</a></td>
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<div class="block">:: Experimental ::
 <code>Gradient-Boosted Trees (GBTs)</code>
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<td class="colFirst"><a href="../../../../../org/apache/spark/ml/classification/GBTClassifier.html" title="class in org.apache.spark.ml.classification">GBTClassifier</a></td>
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<div class="block">:: Experimental ::
 <code>Gradient-Boosted Trees (GBTs)</code>
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<td class="colFirst"><a href="../../../../../org/apache/spark/ml/classification/LabelConverter.html" title="class in org.apache.spark.ml.classification">LabelConverter</a></td>
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<div class="block">Label to vector converter.</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/ml/classification/LogisticAggregator.html" title="class in org.apache.spark.ml.classification">LogisticAggregator</a></td>
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<div class="block">LogisticAggregator computes the gradient and loss for binary logistic loss function, as used
 in binary classification for samples in sparse or dense vector in a online fashion.</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/ml/classification/LogisticCostFun.html" title="class in org.apache.spark.ml.classification">LogisticCostFun</a></td>
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<div class="block">LogisticCostFun implements Breeze's DiffFunction[T] for a multinomial logistic loss function,
 as used in multi-class classification (it is also used in binary logistic regression).</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/ml/classification/LogisticRegression.html" title="class in org.apache.spark.ml.classification">LogisticRegression</a></td>
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<div class="block">:: Experimental ::
 Logistic regression.</div>
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<div class="block">:: Experimental ::
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 Classification model based on the Multilayer Perceptron.</div>
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 Classifier trainer based on the Multilayer Perceptron.</div>
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 Naive Bayes Classifiers.</div>
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<div class="block">:: Experimental ::
 Model produced by <a href="../../../../../org/apache/spark/ml/classification/NaiveBayes.html" title="class in org.apache.spark.ml.classification"><code>NaiveBayes</code></a>
 param:  pi log of class priors, whose dimension is C (number of classes)
 param:  theta log of class conditional probabilities, whose dimension is C (number of classes)
              by D (number of features)</div>
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 Model produced by <a href="../../../../../org/apache/spark/ml/classification/OneVsRest.html" title="class in org.apache.spark.ml.classification"><code>OneVsRest</code></a>.</div>
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<div class="block">:: Experimental ::
 <code>Random Forest</code> model for classification.</div>
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