Package org.apache.spark.mllib.classification

Interface Summary

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

Class Summary

Class	Description
LogisticRegressionModel	Classification model trained using Multinomial/Binary Logistic Regression.
LogisticRegressionWithLBFGS	Train a classification model for Multinomial/Binary Logistic Regression using Limited-memory BFGS.
LogisticRegressionWithSGD	Train a classification model for Binary Logistic Regression using Stochastic Gradient Descent.
NaiveBayes	Trains a Naive Bayes model given an RDD of (label, features) pairs.
NaiveBayesModel	Model for Naive Bayes Classifiers.
StreamingLogisticRegressionWithSGD	:: Experimental :: Train or predict a logistic regression model on streaming data.
SVMModel	Model for Support Vector Machines (SVMs).
SVMWithSGD	Train a Support Vector Machine (SVM) using Stochastic Gradient Descent.