Hierarchy For All Packages

Package Hierarchies:

• smile.association,
• smile.classification,
• smile.clustering,
• smile.clustering.linkage,
• smile.feature,
• smile.gap,
• smile.imputation,
• smile.manifold,
• smile.mds,
• smile.neighbor,
• smile.projection,
• smile.regression,
• smile.sampling,
• smile.sequence,
• smile.taxonomy,
• smile.util,
• smile.validation,
• smile.vq,
• smile.wavelet

Class Hierarchy

• java.lang.Object
  • smile.validation.Accuracy (implements smile.validation.ClassificationMeasure)
  • smile.classification.AdaBoost (implements smile.classification.SoftClassifier<T>)
  • smile.validation.AdjustedRandIndex (implements smile.validation.ClusterMeasure)
  • smile.association.ARM
  • smile.association.AssociationRule
  • smile.validation.AUC
  • smile.imputation.AverageImputation (implements smile.imputation.MissingValueImputation)
  • smile.feature.Bag<T> (implements smile.feature.FeatureGenerator<T>)
  • smile.sampling.Bagging
  • smile.clustering.BBDTree
  • smile.clustering.BIRCH (implements smile.clustering.Clustering<T>)
  • smile.gap.BitString (implements smile.gap.Chromosome)
  • smile.neighbor.BKTree<E> (implements smile.neighbor.RNNSearch<K,V>, java.io.Serializable)
  • smile.validation.Bootstrap
  • smile.classification.ClassifierTrainer<T>
    • smile.classification.AdaBoost.Trainer
    • smile.classification.DecisionTree.Trainer
    • smile.classification.FLD.Trainer
    • smile.classification.GradientTreeBoost.Trainer
    • smile.classification.KNN.Trainer<T>
    • smile.classification.LDA.Trainer
    • smile.classification.LogisticRegression.Trainer
    • smile.classification.Maxent.Trainer
    • smile.classification.NaiveBayes.Trainer
    • smile.classification.NeuralNetwork.Trainer
    • smile.classification.QDA.Trainer
    • smile.classification.RandomForest.Trainer
    • smile.classification.RBFNetwork.Trainer<T>
    • smile.classification.RDA.Trainer
    • smile.classification.SVM.Trainer<T>
  • smile.taxonomy.Concept
  • smile.validation.ConfusionMatrix
  • 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 smile.sequence.SequenceLabeler<T>, java.io.Serializable)
  • smile.sequence.CRF.Trainer
  • smile.validation.CrossValidation
  • smile.feature.DateFeature (implements smile.feature.FeatureGenerator<T>)
  • smile.classification.DecisionTree (implements smile.classification.SoftClassifier<T>)
  • smile.regression.ElasticNet (implements smile.regression.Regression<T>)
  • smile.validation.Fallout (implements smile.validation.ClassificationMeasure)
  • smile.validation.FDR (implements smile.validation.ClassificationMeasure)
  • smile.feature.FeatureTransform (implements java.io.Serializable)
    • smile.feature.MaxAbsScaler
    • smile.feature.Normalizer
    • smile.feature.Scaler
      • smile.feature.WinsorScaler
    • smile.feature.Standardizer
      • smile.feature.RobustStandardizer
  • smile.classification.FLD (implements smile.classification.Classifier<T>, smile.projection.Projection<T>)
  • smile.validation.FMeasure (implements smile.validation.ClassificationMeasure)
  • smile.association.FPGrowth
  • smile.feature.GAFeatureSelection
  • smile.regression.GaussianProcessRegression<T> (implements smile.regression.Regression<T>)
  • smile.gap.GeneticAlgorithm<T>
  • smile.projection.GHA (implements smile.projection.Projection<T>, java.io.Serializable)
  • smile.classification.GradientTreeBoost (implements smile.classification.SoftClassifier<T>)
  • smile.regression.GradientTreeBoost (implements smile.regression.Regression<T>)
  • smile.validation.GroupKFold
  • smile.vq.GrowingNeuralGas (implements smile.clustering.Clustering<T>)
  • smile.vq.GrowingNeuralGas.Neuron
  • smile.clustering.HierarchicalClustering
  • smile.sequence.HMM<O> (implements smile.sequence.SequenceLabeler<T>)
  • smile.manifold.IsoMap
  • smile.mds.IsotonicMDS
  • 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.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.manifold.LaplacianEigenmap
  • smile.regression.LASSO (implements smile.regression.Regression<T>)
  • smile.classification.LDA (implements smile.classification.SoftClassifier<T>)
  • smile.neighbor.LinearSearch<T> (implements smile.neighbor.KNNSearch<K,V>, smile.neighbor.NearestNeighborSearch<K,V>, smile.neighbor.RNNSearch<K,V>)
  • 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
  • smile.imputation.LLSImputation (implements smile.imputation.MissingValueImputation)
  • smile.classification.LogisticRegression (implements smile.classification.OnlineClassifier<T>, smile.classification.SoftClassifier<T>)
  • smile.validation.LOOCV
  • smile.neighbor.LSH<E> (implements smile.neighbor.KNNSearch<K,V>, smile.neighbor.NearestNeighborSearch<K,V>, smile.neighbor.RNNSearch<K,V>, java.io.Serializable)
  • smile.classification.Maxent (implements smile.classification.SoftClassifier<T>)
  • smile.validation.MCCMeasure (implements smile.validation.ClassificationMeasure)
  • smile.mds.MDS
  • smile.validation.MeanAbsoluteDeviation (implements smile.validation.RegressionMeasure)
  • smile.neighbor.MPLSH<E> (implements smile.neighbor.KNNSearch<K,V>, smile.neighbor.NearestNeighborSearch<K,V>, smile.neighbor.RNNSearch<K,V>, java.io.Serializable)
  • smile.validation.MSE (implements smile.validation.RegressionMeasure)
  • smile.util.MulticoreExecutor
  • smile.classification.NaiveBayes (implements smile.classification.OnlineClassifier<T>, smile.classification.SoftClassifier<T>)
  • smile.neighbor.Neighbor<K,V> (implements java.lang.Comparable<T>)
    • smile.neighbor.SimpleNeighbor<T>
  • smile.vq.NeuralMap (implements smile.clustering.Clustering<T>)
  • smile.vq.NeuralMap.Neuron
  • smile.classification.NeuralNetwork (implements smile.classification.OnlineClassifier<T>, smile.classification.SoftClassifier<T>)
  • smile.regression.NeuralNetwork (implements smile.regression.OnlineRegression<T>)
  • smile.regression.OLS (implements smile.regression.Regression<T>)
  • smile.feature.OneHotEncoder (implements smile.feature.FeatureGenerator<T>)
  • smile.clustering.PartitionClustering<T> (implements smile.clustering.Clustering<T>)
    • smile.clustering.CLARANS<T>
    • smile.clustering.DBSCAN<T>
    • smile.clustering.DENCLUE
    • smile.clustering.KMeans
      • smile.clustering.DeterministicAnnealing
      • smile.clustering.GMeans
      • smile.clustering.XMeans
    • smile.clustering.MEC<T>
    • smile.vq.NeuralGas
    • smile.clustering.SIB
  • smile.projection.PCA (implements smile.projection.Projection<T>, java.io.Serializable)
  • smile.classification.PlattScaling (implements java.io.Serializable)
  • smile.projection.PPCA (implements smile.projection.Projection<T>, java.io.Serializable)
  • smile.validation.Precision (implements smile.validation.ClassificationMeasure)
  • smile.classification.QDA (implements smile.classification.SoftClassifier<T>)
  • smile.validation.RandIndex (implements smile.validation.ClusterMeasure)
  • smile.classification.RandomForest (implements smile.classification.SoftClassifier<T>)
  • smile.regression.RandomForest (implements smile.regression.Regression<T>)
  • smile.projection.RandomProjection (implements smile.projection.Projection<T>, java.io.Serializable)
  • smile.classification.RBFNetwork<T> (implements smile.classification.Classifier<T>)
  • smile.regression.RBFNetwork<T> (implements smile.regression.Regression<T>)
  • smile.classification.RDA (implements smile.classification.SoftClassifier<T>)
  • smile.validation.Recall (implements smile.validation.ClassificationMeasure)
  • smile.regression.RegressionTrainer<T>
    • smile.regression.GaussianProcessRegression.Trainer<T>
    • smile.regression.GradientTreeBoost.Trainer
    • smile.regression.LASSO.Trainer
    • smile.regression.NeuralNetwork.Trainer
    • smile.regression.OLS.Trainer
    • smile.regression.RandomForest.Trainer
    • smile.regression.RBFNetwork.Trainer<T>
    • smile.regression.RegressionTree.Trainer
    • smile.regression.RidgeRegression.Trainer
    • smile.regression.RLS.Trainer
    • smile.regression.SVR.Trainer<T>
  • smile.regression.RegressionTree (implements smile.regression.Regression<T>)
  • smile.regression.RidgeRegression (implements smile.regression.Regression<T>)
  • smile.regression.RLS (implements smile.regression.OnlineRegression<T>)
  • smile.validation.RMSE (implements smile.validation.RegressionMeasure)
  • smile.validation.RSS (implements smile.validation.RegressionMeasure)
  • smile.mds.SammonMapping
  • smile.validation.Sensitivity (implements smile.validation.ClassificationMeasure)
  • smile.feature.SignalNoiseRatio (implements smile.feature.FeatureRanking)
  • smile.util.SmileUtils
  • smile.neighbor.SNLSH<E> (implements smile.neighbor.KNNSearch<K,V>, smile.neighbor.NearestNeighborSearch<K,V>, smile.neighbor.RNNSearch<K,V>, java.io.Serializable)
  • smile.neighbor.SNLSH.AbstractSentence
  • smile.vq.SOM (implements smile.clustering.Clustering<T>)
  • smile.vq.SOM.Neuron
  • smile.feature.SparseOneHotEncoder
  • smile.validation.Specificity (implements smile.validation.ClassificationMeasure)
  • smile.clustering.SpectralClustering
  • smile.feature.SumSquaresRatio (implements smile.feature.FeatureRanking)
  • smile.imputation.SVDImputation (implements smile.imputation.MissingValueImputation)
  • smile.classification.SVM<T> (implements smile.classification.OnlineClassifier<T>, smile.classification.SoftClassifier<T>)
  • smile.classification.SVM.SupportVector (implements java.io.Serializable)
  • smile.regression.SVR<T> (implements smile.regression.Regression<T>)
  • smile.taxonomy.TaxonomicDistance (implements smile.math.distance.Distance<T>)
  • smile.taxonomy.Taxonomy
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Exception
      • smile.imputation.MissingValueImputationException
  • smile.manifold.TSNE
  • smile.validation.Validation
  • smile.wavelet.Wavelet
    • smile.wavelet.BestLocalizedWavelet
    • smile.wavelet.CoifletWavelet
    • smile.wavelet.D4Wavelet
    • smile.wavelet.DaubechiesWavelet
    • smile.wavelet.HaarWavelet
    • smile.wavelet.SymletWavelet
  • smile.wavelet.WaveletShrinkage

Interface Hierarchy

• smile.validation.ClassificationMeasure
• smile.validation.ClusterMeasure
• java.lang.Comparable<T>
  • smile.gap.Chromosome
    • smile.gap.LamarckianChromosome
• smile.feature.FeatureGenerator<T>
• smile.feature.FeatureRanking
• smile.gap.FitnessMeasure<T>
• smile.neighbor.KNNSearch<K,V>
• smile.imputation.MissingValueImputation
• smile.neighbor.NearestNeighborSearch<K,V>
• smile.projection.Projection<T>
• smile.validation.RegressionMeasure
• smile.regression.RegressionTree.NodeOutput
• smile.neighbor.RNNSearch<K,V>
• smile.feature.SequenceFeature<T>
• smile.sequence.SequenceLabeler<T>
• java.io.Serializable
  • smile.classification.Classifier<T>
    • smile.classification.OnlineClassifier<T>
    • smile.classification.SoftClassifier<T>
  • smile.clustering.Clustering<T>
  • smile.regression.Regression<T>
    • smile.regression.OnlineRegression<T>

Enum Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
    • smile.classification.SVM.Multiclass
    • smile.classification.NeuralNetwork.ErrorFunction
    • smile.classification.NeuralNetwork.ActivationFunction
    • smile.classification.NaiveBayes.Model
    • smile.classification.DecisionTree.SplitRule
    • smile.clustering.ClusteringDistance
    • smile.gap.BitString.Crossover
    • smile.gap.GeneticAlgorithm.Selection
    • smile.feature.Normalizer.Norm
    • smile.feature.DateFeature.Type
    • smile.regression.NeuralNetwork.ActivationFunction
    • smile.regression.GradientTreeBoost.Loss