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Interface Summary | |
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RegressionModel |
Class Summary | |
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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. |
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