:: DeveloperApi :: GeneralizedLinearAlgorithm implements methods to train a Generalized Linear Model (GLM).
:: DeveloperApi :: GeneralizedLinearModel (GLM) represents a model trained using GeneralizedLinearAlgorithm.
Isotonic regression.
Regression model for isotonic regression.
Class that represents the features and labels of a data point.
Regression model trained using Lasso.
Train a regression model with L1-regularization using Stochastic Gradient Descent.
Regression model trained using LinearRegression.
Train a linear regression model with no regularization using Stochastic Gradient Descent.
Regression model trained using RidgeRegression.
Train a regression model with L2-regularization using Stochastic Gradient Descent.
:: 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.
Train or predict a linear regression model on streaming data.
Parser for org.apache.spark.mllib.regression.LabeledPoint.
Top-level methods for calling Lasso.
Top-level methods for calling LinearRegression.
Top-level methods for calling RidgeRegression.