Name | Description | Type | Package | Framework |
AFTAggregator | Class | org.apache.spark.ml.regression | Apache Spark | |
AFTCostFun | Class | org.apache.spark.ml.regression | Apache Spark | |
AFTSurvivalRegression | Fit a parametric survival regression model named accelerated failure time (AFT) model (https://en. | Class | org.apache.spark.ml.regression | Apache Spark |
AFTSurvivalRegressionModel | Model produced by AFTSurvivalRegression. | Class | org.apache.spark.ml.regression | Apache Spark |
DecisionTreeRegressionModel | Decision tree model for regression. | Class | org.apache.spark.ml.regression | Apache Spark |
DecisionTreeRegressor | Decision tree learning algorithm It supports both continuous and categorical features. | Class | org.apache.spark.ml.regression | Apache Spark |
GBTRegressionModel | Gradient-Boosted Trees (GBTs) model for regression. | Class | org.apache.spark.ml.regression | Apache Spark |
GBTRegressor | Gradient-Boosted Trees (GBTs) learning algorithm for regression. | Class | org.apache.spark.ml.regression | Apache Spark |
IsotonicRegression | Class | org.apache.spark.ml.regression | Apache Spark | |
IsotonicRegressionModel | Model fitted by IsotonicRegression. | Class | org.apache.spark.ml.regression | Apache Spark |
LeastSquaresAggregator | LeastSquaresAggregator computes the gradient and loss for a Least-squared loss function, as used in linear regression for samples in sparse or dense vector in a online fashion. | Class | org.apache.spark.ml.regression | Apache Spark |
LeastSquaresCostFun | LeastSquaresCostFun implements Breeze's DiffFunction[T] for Least Squares cost. | Class | org.apache.spark.ml.regression | Apache Spark |
LinearRegression | The learning objective is to minimize the squared error, with regularization. | Class | org.apache.spark.ml.regression | Apache Spark |
LinearRegressionModel | Model produced by LinearRegression. | Class | org.apache.spark.ml.regression | Apache Spark |
LinearRegressionSummary | Class | org.apache.spark.ml.regression | Apache Spark | |
LinearRegressionTrainingSummary | Class | org.apache.spark.ml.regression | Apache Spark | |
RandomForestRegressionModel | Random Forest model for regression. | Class | org.apache.spark.ml.regression | Apache Spark |
RandomForestRegressor | Random Forest learning algorithm for regression. | Class | org.apache.spark.ml.regression | Apache Spark |
RegressionModel | Model produced by a Regressor. | Class | org.apache.spark.ml.regression | Apache Spark |