Hierarchy For Package smile.regression

Package Hierarchies:

• All Packages

Class Hierarchy

• java.lang.Object
  • smile.regression.BinarySparseLinearSVM (implements smile.regression.Regression<T>)
  • smile.model.cart.CART (implements java.io.Serializable, smile.feature.importance.SHAP<T>)
    • smile.regression.RegressionTree (implements smile.regression.DataFrameRegression)
  • smile.regression.DataFrameRegression.EnsembleDataFrameRegression (implements smile.regression.DataFrameRegression, java.io.Serializable, smile.feature.importance.SHAP<T>)
  • smile.regression.DataFrameRegression.VectorDataFrameRegression (implements smile.regression.DataFrameRegression, java.io.Serializable, smile.feature.importance.SHAP<T>)
  • smile.regression.ElasticNet
  • smile.regression.GAM (implements smile.regression.DataFrameRegression, java.io.Serializable)
  • smile.regression.GaussianProcessRegression<T> (implements smile.regression.Regression<T>)
  • smile.regression.GaussianProcessRegression.JointPrediction
  • smile.regression.GLM (implements smile.regression.DataFrameRegression, java.io.Serializable)
  • smile.regression.GradientTreeBoost (implements smile.regression.DataFrameRegression, smile.feature.importance.TreeSHAP)
  • smile.model.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.feature.importance.SHAP<T>)
  • smile.regression.LinearSVM (implements smile.regression.Regression<T>)
  • smile.model.mlp.MultilayerPerceptron (implements java.lang.AutoCloseable, 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.RBFNetwork<T> (implements smile.regression.Regression<T>)
  • smile.regression.RidgeRegression
  • smile.regression.SparseLinearSVM (implements smile.regression.Regression<T>)
  • smile.regression.SVM

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
• java.util.function.ToDoubleFunction<T>
  • smile.regression.Regression<T> (also extends java.io.Serializable)
    • smile.regression.DataFrameRegression

Enum Class Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.lang.constant.Constable, java.io.Serializable)
    • smile.regression.OLS.Method

Record Class Hierarchy

• java.lang.Object
  • java.lang.Record
    • smile.regression.ElasticNet.Options
    • smile.regression.GAM.Options
    • smile.regression.GaussianProcessRegression.Options
    • smile.regression.GLM.Options
    • smile.regression.GradientTreeBoost.Options
    • smile.regression.GradientTreeBoost.TrainingStatus
    • smile.regression.LASSO.Options
    • smile.regression.OLS.Options
    • smile.regression.RandomForest.Model (implements java.lang.Comparable<T>, java.io.Serializable)
    • smile.regression.RandomForest.Options
    • smile.regression.RandomForest.TrainingStatus
    • smile.regression.RegressionTree.Options
    • smile.regression.RidgeRegression.Options
    • smile.regression.SVM.Options