Hierarchy For Package smile.regression
Class Hierarchy
- java.lang.Object
- smile.base.cart.CART (implements java.io.Serializable, smile.feature.importance.SHAP<T>)
- smile.regression.RegressionTree (implements smile.regression.DataFrameRegression)
- smile.regression.ElasticNet
- smile.regression.GaussianProcessRegression<T> (implements smile.regression.Regression<T>)
- smile.regression.GaussianProcessRegression.JointPrediction
- smile.regression.GradientTreeBoost (implements smile.regression.DataFrameRegression, smile.feature.importance.TreeSHAP)
- smile.base.svm.KernelMachine<T> (implements java.io.Serializable)
- smile.regression.KernelMachine<T> (implements smile.regression.Regression<T>)
- smile.regression.LASSO
- smile.regression.LinearModel (implements smile.regression.DataFrameRegression)
- smile.base.mlp.MultilayerPerceptron (implements java.io.Serializable)
- smile.regression.MLP (implements smile.regression.Regression<T>)
- smile.regression.OLS
- smile.regression.RandomForest (implements smile.regression.DataFrameRegression, smile.feature.importance.TreeSHAP)
- smile.regression.RandomForest.Model (implements java.io.Serializable)
- smile.regression.RBFNetwork<T> (implements smile.regression.Regression<T>)
- smile.regression.RidgeRegression
- smile.regression.SVM
- smile.base.cart.CART (implements java.io.Serializable, smile.feature.importance.SHAP<T>)
Interface Hierarchy
- smile.regression.DataFrameRegression.Trainer<M>
- smile.regression.Regression.Trainer<T,
M> - java.io.Serializable
- smile.regression.Regression<T> (also extends java.util.function.ToDoubleFunction<T>)
- smile.regression.DataFrameRegression
- smile.regression.Regression<T> (also extends java.util.function.ToDoubleFunction<T>)
- java.util.function.ToDoubleFunction<T>
- smile.regression.Regression<T> (also extends java.io.Serializable)
- smile.regression.DataFrameRegression
- smile.regression.Regression<T> (also extends java.io.Serializable)