Hierarchy For All Packages

Package Hierarchies:

• smile.association,
• smile.base.cart,
• smile.base.mlp,
• smile.base.rbf,
• smile.base.svm,
• smile.classification,
• smile.clustering,
• smile.clustering.linkage,
• smile.feature,
• smile.glm,
• smile.glm.model,
• smile.imputation,
• smile.manifold,
• smile.mds,
• smile.neighbor,
• smile.neighbor.lsh,
• smile.projection,
• smile.projection.ica,
• smile.regression,
• smile.sequence,
• smile.timeseries,
• smile.validation,
• smile.validation.metric,
• smile.vq,
• smile.vq.hebb

Class Hierarchy

• java.lang.Object
  • smile.validation.metric.Accuracy (implements smile.validation.metric.ClassificationMetric)
  • smile.classification.AdaBoost (implements smile.classification.DataFrameClassifier, smile.classification.SoftClassifier<T>, smile.feature.TreeSHAP)
  • 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.imputation.AverageImputation (implements smile.imputation.MissingValueImputation)
  • smile.feature.Bag
  • smile.validation.Bag (implements java.io.Serializable)
  • smile.clustering.BBDTree
  • smile.vq.BIRCH (implements smile.vq.VectorQuantizer)
  • smile.neighbor.BKTree<E> (implements smile.neighbor.RNNSearch<K,V>, java.io.Serializable)
  • smile.timeseries.BoxTest
  • smile.neighbor.lsh.Bucket (implements java.io.Serializable)
  • smile.base.cart.CART (implements java.io.Serializable, smile.feature.SHAP<T>)
    • smile.classification.DecisionTree (implements smile.classification.DataFrameClassifier, smile.classification.SoftClassifier<T>)
    • smile.regression.RegressionTree (implements smile.regression.DataFrameRegression, smile.regression.Regression<T>)
  • 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.neighbor.CoverTree<E> (implements smile.neighbor.KNNSearch<K,V>, smile.neighbor.NearestNeighborSearch<K,V>, smile.neighbor.RNNSearch<K,V>, java.io.Serializable)
  • smile.sequence.CRF (implements java.io.Serializable)
  • smile.sequence.CRFLabeler<T> (implements smile.sequence.SequenceLabeler<T>)
  • smile.classification.DiscreteNaiveBayes (implements smile.classification.OnlineClassifier<T>, smile.classification.SoftClassifier<T>)
  • smile.vq.hebb.Edge (implements java.io.Serializable)
  • smile.regression.ElasticNet
  • smile.validation.metric.Error (implements smile.validation.metric.ClassificationMetric)
  • smile.projection.ica.Exp (implements smile.math.DifferentiableFunction)
  • smile.validation.metric.Fallout (implements smile.validation.metric.ClassificationMetric)
  • smile.validation.metric.FDR (implements smile.validation.metric.ClassificationMetric)
  • smile.classification.FLD (implements smile.classification.Classifier<T>, smile.projection.Projection<T>)
  • smile.association.FPGrowth (implements java.lang.Iterable<T>)
  • smile.association.FPTree
  • smile.validation.metric.FScore (implements smile.validation.metric.ClassificationMetric)
  • smile.feature.GAFE
  • smile.regression.GaussianProcessRegression<T> (implements smile.regression.Regression<T>)
  • smile.regression.GaussianProcessRegression.JointPrediction
  • smile.projection.GHA (implements smile.projection.LinearProjection, java.io.Serializable)
  • smile.glm.GLM (implements java.io.Serializable)
  • smile.classification.GradientTreeBoost (implements smile.classification.DataFrameClassifier, smile.feature.SHAP<T>, smile.classification.SoftClassifier<T>)
  • smile.regression.GradientTreeBoost (implements smile.regression.DataFrameRegression, smile.regression.Regression<T>, smile.feature.TreeSHAP)
  • smile.vq.GrowingNeuralGas (implements smile.vq.VectorQuantizer)
  • smile.neighbor.lsh.Hash (implements java.io.Serializable)
    • smile.neighbor.lsh.MultiProbeHash
  • smile.neighbor.lsh.HashValueParzenModel
  • smile.clustering.HierarchicalClustering (implements java.io.Serializable)
  • smile.sequence.HMM (implements java.io.Serializable)
  • smile.sequence.HMMLabeler<T> (implements smile.sequence.SequenceLabeler<T>)
  • smile.validation.Hyperparameters
  • smile.projection.ICA (implements java.io.Serializable)
  • smile.base.cart.InternalNode (implements smile.base.cart.Node)
    • smile.base.cart.NominalNode
    • smile.base.cart.OrdinalNode
  • smile.manifold.IsoMap (implements java.io.Serializable)
  • smile.mds.IsotonicMDS
  • smile.classification.IsotonicRegressionScaling (implements java.io.Serializable)
  • smile.association.ItemSet
  • smile.neighbor.KDTree<E> (implements smile.neighbor.KNNSearch<K,V>, smile.neighbor.NearestNeighborSearch<K,V>, smile.neighbor.RNNSearch<K,V>, java.io.Serializable)
  • smile.base.svm.KernelMachine<T> (implements java.io.Serializable)
    • smile.regression.KernelMachine<T> (implements smile.regression.Regression<T>)
    • smile.classification.SVM<T> (implements smile.classification.Classifier<T>)
  • smile.imputation.KMeansImputation (implements smile.imputation.MissingValueImputation)
  • smile.classification.KNN<T> (implements smile.classification.SoftClassifier<T>)
  • smile.imputation.KNNImputation (implements smile.imputation.MissingValueImputation)
  • smile.projection.KPCA<T> (implements smile.projection.Projection<T>, java.io.Serializable)
  • smile.projection.ica.Kurtosis (implements smile.math.DifferentiableFunction)
  • 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.OutputLayer
  • smile.base.mlp.LayerBuilder
    • smile.base.mlp.HiddenLayerBuilder
    • smile.base.mlp.OutputLayerBuilder
  • smile.classification.LDA (implements smile.classification.SoftClassifier<T>)
  • smile.base.cart.LeafNode (implements smile.base.cart.Node)
    • smile.base.cart.DecisionNode
    • smile.base.cart.RegressionNode
  • smile.base.svm.LinearKernelMachine (implements java.io.Serializable)
  • smile.regression.LinearModel (implements smile.regression.DataFrameRegression, smile.regression.OnlineRegression<T>)
  • smile.neighbor.LinearSearch<T> (implements smile.neighbor.KNNSearch<K,V>, smile.neighbor.NearestNeighborSearch<K,V>, smile.neighbor.RNNSearch<K,V>, java.io.Serializable)
  • 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.imputation.LLSImputation (implements smile.imputation.MissingValueImputation)
  • smile.projection.ica.LogCosh (implements smile.math.DifferentiableFunction)
  • smile.classification.LogisticRegression (implements smile.classification.OnlineClassifier<T>, smile.classification.SoftClassifier<T>)
    • smile.classification.LogisticRegression.Binomial
    • smile.classification.LogisticRegression.Multinomial
  • smile.validation.metric.LogLoss (implements smile.validation.metric.ProbabilisticClassificationMetric)
  • smile.neighbor.LSH<E> (implements smile.neighbor.KNNSearch<K,V>, smile.neighbor.NearestNeighborSearch<K,V>, smile.neighbor.RNNSearch<K,V>, java.io.Serializable)
    • smile.neighbor.MPLSH<E>
    • smile.neighbor.MutableLSH<E>
  • smile.validation.metric.MAD (implements smile.validation.metric.RegressionMetric)
  • smile.validation.metric.MatthewsCorrelation (implements smile.validation.metric.ClassificationMetric)
  • smile.feature.MaxAbsScaler (implements smile.feature.FeatureTransform)
  • smile.classification.Maxent (implements smile.classification.OnlineClassifier<T>, smile.classification.SoftClassifier<T>)
    • smile.classification.Maxent.Binomial
    • smile.classification.Maxent.Multinomial
  • smile.mds.MDS
  • smile.validation.metric.MSE (implements smile.validation.metric.RegressionMetric)
  • smile.base.mlp.MultilayerPerceptron (implements java.io.Serializable)
    • smile.classification.MLP (implements smile.classification.OnlineClassifier<T>, java.io.Serializable, smile.classification.SoftClassifier<T>)
    • smile.regression.MLP (implements smile.regression.OnlineRegression<T>)
  • smile.neighbor.lsh.MultiProbeSample
  • smile.validation.metric.MutualInformation (implements smile.validation.metric.ClusteringMetric)
  • smile.classification.NaiveBayes (implements smile.classification.SoftClassifier<T>)
  • smile.neighbor.Neighbor<K,V> (implements java.lang.Comparable<T>)
  • smile.neighbor.lsh.NeighborHashValueModel
  • 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.Normalizer (implements smile.feature.FeatureTransform)
  • smile.regression.OLS
  • smile.classification.OneVersusOne<T> (implements smile.classification.SoftClassifier<T>)
  • smile.classification.OneVersusRest<T> (implements smile.classification.SoftClassifier<T>)
  • 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.projection.PCA (implements smile.projection.LinearProjection, java.io.Serializable)
  • smile.classification.PlattScaling (implements java.io.Serializable)
  • smile.neighbor.lsh.PosterioriModel (implements java.io.Serializable)
  • smile.validation.metric.Precision (implements smile.validation.metric.ClassificationMetric)
  • smile.neighbor.lsh.PrH (implements java.lang.Comparable<T>, java.io.Serializable)
  • smile.projection.ProbabilisticPCA (implements smile.projection.LinearProjection, java.io.Serializable)
  • smile.neighbor.lsh.Probe (implements java.lang.Comparable<T>)
  • smile.neighbor.lsh.PrZ (implements java.lang.Comparable<T>)
  • smile.classification.QDA (implements smile.classification.SoftClassifier<T>)
    • smile.classification.RDA
  • smile.validation.metric.R2 (implements smile.validation.metric.RegressionMetric)
  • smile.validation.metric.RandIndex (implements smile.validation.metric.ClusteringMetric)
  • smile.classification.RandomForest (implements smile.classification.DataFrameClassifier, smile.classification.SoftClassifier<T>, smile.feature.TreeSHAP)
  • smile.regression.RandomForest (implements smile.regression.DataFrameRegression, smile.regression.Regression<T>, smile.feature.TreeSHAP)
  • smile.classification.RandomForest.Model (implements java.io.Serializable)
  • smile.regression.RandomForest.Model (implements java.io.Serializable)
  • smile.projection.RandomProjection (implements smile.projection.LinearProjection, java.io.Serializable)
  • smile.base.rbf.RBF<T> (implements java.io.Serializable)
  • smile.classification.RBFNetwork<T> (implements smile.classification.Classifier<T>)
  • smile.regression.RBFNetwork<T> (implements smile.regression.Regression<T>)
  • smile.validation.metric.Recall (implements smile.validation.metric.ClassificationMetric)
  • smile.regression.Regression.Metric
  • smile.validation.RegressionMetrics (implements java.io.Serializable)
  • smile.validation.RegressionValidation<M> (implements java.io.Serializable)
  • smile.validation.RegressionValidations<M> (implements java.io.Serializable)
  • smile.regression.RidgeRegression
  • smile.validation.metric.RMSE (implements smile.validation.metric.RegressionMetric)
  • smile.validation.metric.RSS (implements smile.validation.metric.RegressionMetric)
  • smile.mds.SammonMapping
  • smile.feature.Scaler (implements smile.feature.FeatureTransform)
    • smile.feature.WinsorScaler
  • smile.validation.metric.Sensitivity (implements smile.validation.metric.ClassificationMetric)
  • smile.feature.SignalNoiseRatio (implements smile.feature.FeatureRanking)
  • smile.neighbor.SNLSH<K,V> (implements smile.neighbor.RNNSearch<K,V>, java.io.Serializable)
  • smile.vq.SOM (implements smile.vq.VectorQuantizer)
  • smile.classification.SparseLogisticRegression (implements smile.classification.OnlineClassifier<T>, smile.classification.SoftClassifier<T>)
    • smile.classification.SparseLogisticRegression.Binomial
    • smile.classification.SparseLogisticRegression.Multinomial
  • smile.feature.SparseOneHotEncoder
  • smile.validation.metric.Specificity (implements smile.validation.metric.ClassificationMetric)
  • smile.base.cart.Split
    • smile.base.cart.NominalSplit
    • smile.base.cart.OrdinalSplit
  • smile.feature.Standardizer (implements smile.feature.FeatureTransform)
    • smile.feature.RobustStandardizer
  • smile.feature.SumSquaresRatio (implements smile.feature.FeatureRanking)
  • smile.base.svm.SupportVector<T> (implements java.io.Serializable)
  • smile.imputation.SVDImputation (implements smile.imputation.MissingValueImputation)
  • smile.regression.SVR
  • smile.base.svm.SVR<T>
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Exception
      • smile.imputation.MissingValueImputationException
  • smile.manifold.TSNE (implements java.io.Serializable)
  • smile.manifold.UMAP (implements java.io.Serializable)

Interface Hierarchy

• smile.glm.model.Bernoulli
• smile.glm.model.Binomial
• smile.validation.Bootstrap
• smile.validation.metric.CrossEntropy
• smile.validation.CrossValidation
• smile.classification.DataFrameClassifier
• smile.regression.DataFrameRegression
• smile.feature.FeatureRanking
• smile.neighbor.KNNSearch<K,V>
• smile.validation.LOOCV
• smile.base.cart.Loss
• smile.imputation.MissingValueImputation
• smile.validation.ModelSelection
• smile.neighbor.NearestNeighborSearch<K,V>
• smile.glm.model.Poisson
• smile.projection.Projection<T>
  • smile.projection.LinearProjection
• smile.neighbor.RNNSearch<K,V>
• java.io.Serializable
  • smile.base.mlp.ActivationFunction
  • smile.validation.metric.ClassificationMetric
  • smile.classification.Classifier<T> (also extends java.util.function.ToDoubleFunction<T>, java.util.function.ToIntFunction<T>)
    • smile.classification.OnlineClassifier<T>
    • smile.classification.SoftClassifier<T>
  • smile.validation.metric.ClusteringMetric
  • smile.feature.FeatureTransform
  • smile.glm.model.Model
  • smile.vq.Neighborhood
  • smile.base.cart.Node
  • smile.validation.metric.ProbabilisticClassificationMetric
  • smile.regression.Regression<T> (also extends java.util.function.ToDoubleFunction<T>)
    • smile.regression.OnlineRegression<T>
  • smile.validation.metric.RegressionMetric
  • smile.sequence.SequenceLabeler<T>
  • smile.vq.VectorQuantizer
• smile.feature.SHAP<T>
  • smile.feature.TreeSHAP
• smile.timeseries.TimeSeries
• java.util.function.ToDoubleFunction<T>
  • smile.classification.Classifier<T> (also extends java.io.Serializable, java.util.function.ToIntFunction<T>)
    • smile.classification.OnlineClassifier<T>
    • smile.classification.SoftClassifier<T>
  • smile.regression.Regression<T> (also extends java.io.Serializable)
    • smile.regression.OnlineRegression<T>
• java.util.function.ToIntFunction<T>
  • smile.classification.Classifier<T> (also extends java.io.Serializable, java.util.function.ToDoubleFunction<T>)
    • smile.classification.OnlineClassifier<T>
    • smile.classification.SoftClassifier<T>

Enum Hierarchy

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