Hierarchy For All Packages

Package Hierarchies:

• smile.anomaly,
• smile.association,
• smile.base.cart,
• smile.base.mlp,
• smile.base.rbf,
• smile.base.svm,
• smile.classification,
• smile.clustering,
• smile.clustering.linkage,
• smile.deep.activation,
• smile.deep.optimizer,
• smile.feature.extraction,
• smile.feature.importance,
• smile.feature.imputation,
• smile.feature.selection,
• smile.feature.transform,
• smile.glm,
• smile.glm.model,
• smile.hpo,
• smile.manifold,
• smile.regression,
• smile.sequence,
• smile.timeseries,
• smile.validation,
• smile.validation.metric,
• smile.vq,
• smile.vq.hebb

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.validation.metric.Accuracy (implements smile.validation.metric.ClassificationMetric)
  • smile.deep.optimizer.Adam (implements smile.deep.optimizer.Optimizer)
  • smile.validation.metric.AdjustedMutualInformation (implements smile.validation.metric.ClusteringMetric)
  • smile.validation.metric.AdjustedRandIndex (implements smile.validation.metric.ClusteringMetric)
  • smile.timeseries.AR (implements java.io.Serializable)
  • smile.association.ARM (implements java.lang.Iterable<T>)
  • smile.timeseries.ARMA (implements java.io.Serializable)
  • smile.association.AssociationRule
  • smile.validation.metric.AUC (implements smile.validation.metric.ProbabilisticClassificationMetric)
  • smile.validation.Bag (implements java.io.Serializable)
  • smile.feature.extraction.BagOfWords (implements smile.data.transform.Transform)
  • smile.clustering.BBDTree
  • smile.feature.extraction.BinaryEncoder (implements java.util.function.Function<T,R>)
  • smile.vq.BIRCH (implements smile.vq.VectorQuantizer)
  • smile.timeseries.BoxTest
  • 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.regression.RegressionTree (implements smile.regression.DataFrameRegression)
  • smile.validation.ClassificationMetrics (implements java.io.Serializable)
  • smile.validation.ClassificationValidation<M> (implements java.io.Serializable)
  • smile.validation.ClassificationValidations<M> (implements java.io.Serializable)
  • smile.classification.ClassLabels (implements java.io.Serializable)
  • smile.validation.metric.ConfusionMatrix (implements java.io.Serializable)
  • smile.validation.metric.ContingencyTable
  • smile.sequence.CRF (implements java.io.Serializable)
  • smile.sequence.CRFLabeler<T> (implements smile.sequence.SequenceLabeler<T>)
  • smile.vq.hebb.Edge (implements java.io.Serializable)
  • smile.regression.ElasticNet
  • smile.validation.metric.Error (implements smile.validation.metric.ClassificationMetric)
  • smile.validation.metric.Fallout (implements smile.validation.metric.ClassificationMetric)
  • smile.validation.metric.FDR (implements smile.validation.metric.ClassificationMetric)
  • smile.association.FPGrowth (implements java.lang.Iterable<T>)
  • smile.association.FPTree
  • smile.validation.metric.FScore (implements smile.validation.metric.ClassificationMetric)
  • smile.feature.selection.GAFE
  • smile.regression.GaussianProcessRegression<T> (implements smile.regression.Regression<T>)
  • smile.regression.GaussianProcessRegression.JointPrediction
  • smile.glm.GLM (implements java.io.Serializable)
  • smile.regression.GradientTreeBoost (implements smile.regression.DataFrameRegression, smile.feature.importance.TreeSHAP)
  • smile.vq.GrowingNeuralGas (implements smile.vq.VectorQuantizer)
  • smile.feature.extraction.HashEncoder (implements java.util.function.Function<T,R>)
  • smile.clustering.HierarchicalClustering (implements java.io.Serializable)
  • smile.sequence.HMM (implements java.io.Serializable)
  • smile.sequence.HMMLabeler<T> (implements smile.sequence.SequenceLabeler<T>)
  • smile.hpo.Hyperparameters
  • smile.feature.selection.InformationValue (implements java.lang.Comparable<T>)
  • smile.base.cart.InternalNode (implements smile.base.cart.Node)
    • smile.base.cart.NominalNode
    • smile.base.cart.OrdinalNode
  • smile.anomaly.IsolationForest (implements java.io.Serializable)
  • smile.anomaly.IsolationTree (implements java.io.Serializable)
  • smile.manifold.IsoMap (implements java.io.Serializable)
  • smile.manifold.IsotonicMDS
  • smile.classification.IsotonicRegressionScaling (implements java.io.Serializable)
  • smile.association.ItemSet
  • smile.base.svm.KernelMachine<T> (implements java.io.Serializable)
    • smile.regression.KernelMachine<T> (implements smile.regression.Regression<T>)
    • smile.anomaly.SVM<T>
    • smile.classification.SVM<T> (implements smile.classification.Classifier<T>)
  • smile.feature.imputation.KMedoidsImputer (implements smile.data.transform.Transform)
  • smile.feature.imputation.KNNImputer (implements smile.data.transform.Transform)
  • smile.manifold.KPCA<T> (implements java.util.function.Function<T,R>, java.io.Serializable)
  • smile.manifold.LaplacianEigenmap (implements java.io.Serializable)
  • smile.regression.LASSO
  • smile.base.svm.LASVM<T> (implements java.io.Serializable)
  • smile.base.mlp.Layer (implements java.io.Serializable)
    • smile.base.mlp.HiddenLayer
    • smile.base.mlp.InputLayer
    • smile.base.mlp.OutputLayer
  • smile.base.mlp.LayerBuilder
    • smile.base.mlp.HiddenLayerBuilder
    • smile.base.mlp.OutputLayerBuilder
  • smile.base.cart.LeafNode (implements smile.base.cart.Node)
    • smile.base.cart.DecisionNode
    • smile.base.cart.RegressionNode
  • smile.deep.activation.LeakyReLU (implements smile.deep.activation.ActivationFunction)
  • smile.base.svm.LinearKernelMachine (implements java.io.Serializable)
  • smile.regression.LinearModel (implements smile.regression.DataFrameRegression)
  • smile.clustering.linkage.Linkage
    • smile.clustering.linkage.CompleteLinkage
    • smile.clustering.linkage.SingleLinkage
    • smile.clustering.linkage.UPGMALinkage
    • smile.clustering.linkage.UPGMCLinkage
    • smile.clustering.linkage.WardLinkage
    • smile.clustering.linkage.WPGMALinkage
    • smile.clustering.linkage.WPGMCLinkage
  • smile.manifold.LLE (implements java.io.Serializable)
  • smile.validation.metric.LogLoss (implements smile.validation.metric.ProbabilisticClassificationMetric)
  • smile.validation.metric.MAD (implements smile.validation.metric.RegressionMetric)
  • smile.validation.metric.MatthewsCorrelation (implements smile.validation.metric.ClassificationMetric)
  • smile.feature.transform.MaxAbsScaler
  • smile.manifold.MDS
  • smile.validation.metric.MSE (implements smile.validation.metric.RegressionMetric)
  • smile.base.mlp.MultilayerPerceptron (implements java.io.Serializable)
    • smile.classification.MLP (implements smile.classification.Classifier<T>, java.io.Serializable)
    • smile.regression.MLP (implements smile.regression.Regression<T>)
  • smile.validation.metric.MutualInformation (implements smile.validation.metric.ClusteringMetric)
  • smile.vq.NeuralGas (implements smile.vq.VectorQuantizer)
  • smile.vq.NeuralMap (implements smile.vq.VectorQuantizer)
  • smile.vq.hebb.Neuron (implements java.lang.Comparable<T>, java.io.Serializable)
  • smile.validation.metric.NormalizedMutualInformation (implements smile.validation.metric.ClusteringMetric)
  • smile.feature.transform.Normalizer (implements smile.data.transform.Transform)
  • smile.base.svm.OCSVM<T>
  • smile.regression.OLS
  • smile.clustering.PartitionClustering (implements java.io.Serializable)
    • smile.clustering.CentroidClustering<T,U> (implements java.lang.Comparable<T>)
      • smile.clustering.CLARANS<T>
      • smile.clustering.DeterministicAnnealing
      • smile.clustering.GMeans
      • smile.clustering.KMeans
      • smile.clustering.KModes
      • smile.clustering.SIB
      • smile.clustering.XMeans
    • smile.clustering.DBSCAN<T>
    • smile.clustering.DENCLUE
    • smile.clustering.MEC<T> (implements java.lang.Comparable<T>)
    • smile.clustering.SpectralClustering (implements java.io.Serializable)
  • smile.classification.PlattScaling (implements java.io.Serializable)
  • smile.validation.metric.Precision (implements smile.validation.metric.ClassificationMetric)
  • smile.feature.extraction.Projection (implements smile.data.transform.Transform)
    • smile.feature.extraction.GHA
    • smile.feature.extraction.KernelPCA
    • smile.feature.extraction.PCA
    • smile.feature.extraction.ProbabilisticPCA
    • smile.feature.extraction.RandomProjection
  • smile.validation.metric.R2 (implements smile.validation.metric.RegressionMetric)
  • smile.validation.metric.RandIndex (implements smile.validation.metric.ClusteringMetric)
  • smile.regression.RandomForest (implements smile.regression.DataFrameRegression, smile.feature.importance.TreeSHAP)
  • smile.classification.RandomForest.Model (implements java.io.Serializable)
  • smile.regression.RandomForest.Model (implements java.io.Serializable)
  • smile.base.rbf.RBF<T> (implements java.io.Serializable)
  • smile.regression.RBFNetwork<T> (implements smile.regression.Regression<T>)
  • smile.validation.metric.Recall (implements smile.validation.metric.ClassificationMetric)
  • smile.validation.RegressionMetrics (implements java.io.Serializable)
  • smile.validation.RegressionValidation<M> (implements java.io.Serializable)
  • smile.validation.RegressionValidations<M> (implements java.io.Serializable)
  • smile.deep.activation.ReLU (implements smile.deep.activation.ActivationFunction)
  • smile.regression.RidgeRegression
  • smile.validation.metric.RMSE (implements smile.validation.metric.RegressionMetric)
  • smile.deep.optimizer.RMSProp (implements smile.deep.optimizer.Optimizer)
  • smile.feature.transform.RobustStandardizer
  • smile.validation.metric.RSS (implements smile.validation.metric.RegressionMetric)
  • smile.manifold.SammonMapping
  • smile.feature.transform.Scaler
  • smile.validation.metric.Sensitivity (implements smile.validation.metric.ClassificationMetric)
  • smile.deep.optimizer.SGD (implements smile.deep.optimizer.Optimizer)
  • smile.deep.activation.Sigmoid (implements smile.deep.activation.ActivationFunction)
  • smile.feature.selection.SignalNoiseRatio (implements java.lang.Comparable<T>)
  • smile.feature.imputation.SimpleImputer (implements smile.data.transform.Transform)
  • smile.deep.activation.Softmax (implements smile.deep.activation.ActivationFunction)
  • smile.vq.SOM (implements smile.vq.VectorQuantizer)
  • smile.feature.extraction.SparseEncoder (implements java.util.function.Function<T,R>)
  • smile.validation.metric.Specificity (implements smile.validation.metric.ClassificationMetric)
  • smile.base.cart.Split
    • smile.base.cart.NominalSplit
    • smile.base.cart.OrdinalSplit
  • smile.feature.transform.Standardizer
  • smile.feature.selection.SumSquaresRatio (implements java.lang.Comparable<T>)
  • smile.base.svm.SupportVector<T> (implements java.io.Serializable)
  • smile.regression.SVM
  • smile.base.svm.SVR<T>
  • smile.deep.activation.Tanh (implements smile.deep.activation.ActivationFunction)
  • smile.manifold.TSNE (implements java.io.Serializable)
  • smile.manifold.UMAP (implements java.io.Serializable)
  • smile.feature.transform.WinsorScaler

Interface Hierarchy

• smile.glm.model.Bernoulli
• smile.glm.model.Binomial
• smile.validation.Bootstrap
• smile.classification.Classifier.Trainer<T,M>
• smile.validation.metric.CrossEntropy
• smile.validation.CrossValidation
• smile.classification.DataFrameClassifier.Trainer<M>
• smile.regression.DataFrameRegression.Trainer<M>
• smile.validation.LOOCV
• smile.base.cart.Loss
• smile.validation.ModelSelection
• smile.glm.model.Poisson
• smile.regression.Regression.Trainer<T,M>
• java.io.Serializable
  • smile.base.mlp.ActivationFunction
  • smile.deep.activation.ActivationFunction
  • smile.validation.metric.ClassificationMetric
  • smile.classification.Classifier<T> (also extends java.util.function.ToDoubleFunction<T>, java.util.function.ToIntFunction<T>)
    • smile.classification.DataFrameClassifier
  • smile.validation.metric.ClusteringMetric
  • smile.glm.model.Model
  • smile.vq.Neighborhood
  • smile.base.cart.Node
  • smile.deep.optimizer.Optimizer
  • smile.validation.metric.ProbabilisticClassificationMetric
  • smile.regression.Regression<T> (also extends java.util.function.ToDoubleFunction<T>)
    • smile.regression.DataFrameRegression
  • smile.validation.metric.RegressionMetric
  • smile.sequence.SequenceLabeler<T>
  • smile.vq.VectorQuantizer
• smile.feature.importance.SHAP<T>
  • smile.feature.importance.TreeSHAP
• smile.feature.imputation.SVDImputer
• smile.timeseries.TimeSeries
• java.util.function.ToDoubleFunction<T>
  • smile.classification.Classifier<T> (also extends java.io.Serializable, java.util.function.ToIntFunction<T>)
    • smile.classification.DataFrameClassifier
  • smile.regression.Regression<T> (also extends java.io.Serializable)
    • smile.regression.DataFrameRegression
• java.util.function.ToIntFunction<T>
  • smile.classification.Classifier<T> (also extends java.io.Serializable, java.util.function.ToDoubleFunction<T>)
    • smile.classification.DataFrameClassifier

Enum Class Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.lang.constant.Constable, java.io.Serializable)
    • smile.validation.metric.AdjustedMutualInformation.Method
    • smile.timeseries.AR.Method
    • smile.timeseries.BoxTest.Type
    • smile.base.mlp.Cost
    • smile.classification.DiscreteNaiveBayes.Model
    • smile.base.cart.Loss.Type
    • smile.validation.metric.NormalizedMutualInformation.Method
    • smile.feature.transform.Normalizer.Norm
    • smile.base.mlp.OutputFunction
    • smile.base.cart.SplitRule