Hierarchy For Package smile.classification
Class Hierarchy
- java.lang.Object
- smile.classification.AbstractClassifier<T> (implements smile.classification.Classifier<T>)
- smile.classification.AdaBoost (implements smile.classification.DataFrameClassifier, smile.feature.importance.TreeSHAP)
- smile.classification.DiscreteNaiveBayes
- smile.classification.FLD
- smile.classification.GradientTreeBoost (implements smile.classification.DataFrameClassifier, smile.feature.importance.SHAP<T>)
- smile.classification.KNN<T>
- smile.classification.LDA
- smile.classification.LogisticRegression
- smile.classification.LogisticRegression.Binomial
- smile.classification.LogisticRegression.Multinomial
- smile.classification.Maxent
- smile.classification.Maxent.Binomial
- smile.classification.Maxent.Multinomial
- smile.classification.NaiveBayes
- smile.classification.OneVersusOne<T>
- smile.classification.OneVersusRest<T>
- smile.classification.QDA
- smile.classification.RDA
- smile.classification.RandomForest (implements smile.classification.DataFrameClassifier, smile.feature.importance.TreeSHAP)
- smile.classification.RBFNetwork<T>
- smile.classification.SparseLogisticRegression
- smile.classification.SparseLogisticRegression.Binomial
- smile.classification.SparseLogisticRegression.Multinomial
- smile.base.cart.CART (implements java.io.Serializable, smile.feature.importance.SHAP<T>)
- smile.classification.DecisionTree (implements smile.classification.Classifier<T>, smile.classification.DataFrameClassifier)
- smile.classification.ClassLabels (implements java.io.Serializable)
- smile.classification.IsotonicRegressionScaling (implements java.io.Serializable)
- smile.base.svm.KernelMachine<T> (implements java.io.Serializable)
- smile.classification.SVM<T> (implements smile.classification.Classifier<T>)
- smile.base.mlp.MultilayerPerceptron (implements java.io.Serializable)
- smile.classification.MLP (implements smile.classification.Classifier<T>, java.io.Serializable)
- smile.classification.PlattScaling (implements java.io.Serializable)
- smile.classification.RandomForest.Model (implements java.io.Serializable)
- smile.classification.AbstractClassifier<T> (implements smile.classification.Classifier<T>)
Interface Hierarchy
- smile.classification.Classifier.Trainer<T,
M> - smile.classification.DataFrameClassifier.Trainer<M>
- java.io.Serializable
- smile.classification.Classifier<T> (also extends java.util.function.ToDoubleFunction<T>, java.util.function.ToIntFunction<T>)
- smile.classification.DataFrameClassifier
- smile.classification.Classifier<T> (also extends java.util.function.ToDoubleFunction<T>, java.util.function.ToIntFunction<T>)
- java.util.function.ToDoubleFunction<T>
- smile.classification.Classifier<T> (also extends java.io.Serializable, java.util.function.ToIntFunction<T>)
- smile.classification.DataFrameClassifier
- smile.classification.Classifier<T> (also extends java.io.Serializable, java.util.function.ToIntFunction<T>)
- java.util.function.ToIntFunction<T>
- smile.classification.Classifier<T> (also extends java.io.Serializable, java.util.function.ToDoubleFunction<T>)
- smile.classification.DataFrameClassifier
- smile.classification.Classifier<T> (also extends java.io.Serializable, java.util.function.ToDoubleFunction<T>)
Enum Class Hierarchy
- java.lang.Object
- java.lang.Enum<E> (implements java.lang.Comparable<T>, java.lang.constant.Constable, java.io.Serializable)
- smile.classification.DiscreteNaiveBayes.Model
- java.lang.Enum<E> (implements java.lang.Comparable<T>, java.lang.constant.Constable, java.io.Serializable)