classification

Type Members

1. trait ClassificationModel extends Serializable

   :: Experimental :: Represents a classification model that predicts to which of a set of categories an example belongs.

2. class LogisticRegressionModel extends GeneralizedLinearModel with ClassificationModel with Serializable with Saveable with PMMLExportable

   Classification model trained using Multinomial/Binary Logistic Regression.

3. class LogisticRegressionWithLBFGS extends GeneralizedLinearAlgorithm[LogisticRegressionModel] with Serializable

   Train a classification model for Multinomial/Binary Logistic Regression using Limited-memory BFGS.

4. class LogisticRegressionWithSGD extends GeneralizedLinearAlgorithm[LogisticRegressionModel] with Serializable

   Train a classification model for Binary Logistic Regression using Stochastic Gradient Descent.

5. class NaiveBayes extends Serializable with Logging

   Trains a Naive Bayes model given an RDD of (label, features) pairs.

6. class NaiveBayesModel extends ClassificationModel with Serializable with Saveable

   Model for Naive Bayes Classifiers.

7. class SVMModel extends GeneralizedLinearModel with ClassificationModel with Serializable with Saveable with PMMLExportable

   Model for Support Vector Machines (SVMs).

8. class SVMWithSGD extends GeneralizedLinearAlgorithm[SVMModel] with Serializable

   Train a Support Vector Machine (SVM) using Stochastic Gradient Descent.

9. class StreamingLogisticRegressionWithSGD extends StreamingLinearAlgorithm[LogisticRegressionModel, LogisticRegressionWithSGD] with Serializable

   :: Experimental :: Train or predict a logistic regression model on streaming data.