Search Java Classes and Packages
#Org.apache.spark.ml.regression Classes and Interfaces - 19 results found.
| 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 |