Package org.apache.spark.mllib.regression

Interface Summary

RegressionModel

Class Summary

GeneralizedLinearAlgorithm<M extends GeneralizedLinearModel>	:: DeveloperApi :: GeneralizedLinearAlgorithm implements methods to train a Generalized Linear Model (GLM).
GeneralizedLinearModel	:: DeveloperApi :: GeneralizedLinearModel (GLM) represents a model trained using GeneralizedLinearAlgorithm.
IsotonicRegression
IsotonicRegressionModel	:: Experimental ::
LabeledPoint	Class that represents the features and labels of a data point.
LassoModel	Regression model trained using Lasso.
LassoWithSGD	Train a regression model with L1-regularization using Stochastic Gradient Descent.
LinearRegressionModel	Regression model trained using LinearRegression.
LinearRegressionWithSGD	Train a linear regression model with no regularization using Stochastic Gradient Descent.
RidgeRegressionModel	Regression model trained using RidgeRegression.
RidgeRegressionWithSGD	Train a regression model with L2-regularization using Stochastic Gradient Descent.
StreamingLinearAlgorithm<M extends GeneralizedLinearModel,A extends GeneralizedLinearAlgorithm<M>>	:: DeveloperApi :: StreamingLinearAlgorithm implements methods for continuously training a generalized linear model model on streaming data, and using it for prediction on (possibly different) streaming data.
StreamingLinearRegressionWithSGD	:: Experimental :: Train or predict a linear regression model on streaming data.