Hierarchy For All Packages

Package Hierarchies:

• jsat,
• jsat.classifiers,
• jsat.classifiers.bayesian,
• jsat.classifiers.bayesian.graphicalmodel,
• jsat.classifiers.boosting,
• jsat.classifiers.calibration,
• jsat.classifiers.evaluation,
• jsat.classifiers.knn,
• jsat.classifiers.linear,
• jsat.classifiers.linear.kernelized,
• jsat.classifiers.neuralnetwork,
• jsat.classifiers.neuralnetwork.activations,
• jsat.classifiers.neuralnetwork.initializers,
• jsat.classifiers.neuralnetwork.regularizers,
• jsat.classifiers.svm,
• jsat.classifiers.svm.extended,
• jsat.classifiers.trees,
• jsat.clustering,
• jsat.clustering.dissimilarity,
• jsat.clustering.evaluation,
• jsat.clustering.evaluation.intra,
• jsat.clustering.hierarchical,
• jsat.clustering.kmeans,
• jsat.datatransform,
• jsat.datatransform.featureselection,
• jsat.datatransform.kernel,
• jsat.datatransform.visualization,
• jsat.distributions,
• jsat.distributions.discrete,
• jsat.distributions.empirical,
• jsat.distributions.empirical.kernelfunc,
• jsat.distributions.kernels,
• jsat.distributions.multivariate,
• jsat.driftdetectors,
• jsat.exceptions,
• jsat.io,
• jsat.linear,
• jsat.linear.distancemetrics,
• jsat.linear.solvers,
• jsat.linear.vectorcollection,
• jsat.linear.vectorcollection.lsh,
• jsat.lossfunctions,
• jsat.math,
• jsat.math.decayrates,
• jsat.math.integration,
• jsat.math.optimization,
• jsat.math.optimization.oned,
• jsat.math.optimization.stochastic,
• jsat.math.rootfinding,
• jsat.parameters,
• jsat.regression,
• jsat.regression.evaluation,
• jsat.testing,
• jsat.testing.goodnessoffit,
• jsat.testing.onesample,
• jsat.text,
• jsat.text.stemming,
• jsat.text.tokenizer,
• jsat.text.topicmodel,
• jsat.text.wordweighting,
• jsat.utils,
• jsat.utils.concurrent,
• jsat.utils.random

Class Hierarchy

• java.lang.Object
  • jsat.lossfunctions.AbsoluteLoss (implements jsat.lossfunctions.LossR)
  • jsat.clustering.dissimilarity.AbstractClusterDissimilarity (implements jsat.clustering.dissimilarity.ClusterDissimilarity)
    • jsat.clustering.dissimilarity.DistanceMetricDissimilarity
      • jsat.clustering.dissimilarity.LanceWilliamsDissimilarity (implements jsat.clustering.dissimilarity.UpdatableClusterDissimilarity)
        • jsat.clustering.dissimilarity.AverageLinkDissimilarity (implements jsat.clustering.dissimilarity.UpdatableClusterDissimilarity)
        • jsat.clustering.dissimilarity.CentroidDissimilarity (implements jsat.clustering.dissimilarity.UpdatableClusterDissimilarity)
        • jsat.clustering.dissimilarity.CompleteLinkDissimilarity (implements jsat.clustering.dissimilarity.UpdatableClusterDissimilarity)
        • jsat.clustering.dissimilarity.MedianDissimilarity
        • jsat.clustering.dissimilarity.SingleLinkDissimilarity (implements jsat.clustering.dissimilarity.UpdatableClusterDissimilarity)
        • jsat.clustering.dissimilarity.WardsDissimilarity
  • java.util.AbstractCollection<E> (implements java.util.Collection<E>)
    • java.util.AbstractList<E> (implements java.util.List<E>)
      • java.util.ArrayList<E> (implements java.lang.Cloneable, java.util.List<E>, java.util.RandomAccess, java.io.Serializable)
        • jsat.utils.BoundedSortedList<E> (implements java.io.Serializable)
        • jsat.utils.SortedArrayList<T> (implements java.io.Serializable)
        • jsat.linear.vectorcollection.VectorArray<V> (implements jsat.linear.vectorcollection.IncrementalCollection<V>)
      • jsat.utils.DoubleList (implements java.io.Serializable)
      • jsat.utils.IntList (implements java.io.Serializable)
      • jsat.utils.LongList (implements java.io.Serializable)
      • jsat.utils.SimpleList<E> (implements java.io.Serializable)
    • java.util.AbstractQueue<E> (implements java.util.Queue<E>)
      • jsat.utils.IntPriorityQueue (implements java.io.Serializable)
    • java.util.AbstractSet<E> (implements java.util.Set<E>)
      • jsat.utils.IntSet (implements java.io.Serializable)
      • jsat.utils.IntSetFixedSize (implements java.io.Serializable)
      • jsat.utils.IntSortedSet (implements java.io.Serializable, java.util.SortedSet<E>)
      • java.util.TreeSet<E> (implements java.lang.Cloneable, java.util.NavigableSet<E>, java.io.Serializable)
        • jsat.utils.BoundedSortedSet<V>
  • java.util.AbstractMap<K,V> (implements java.util.Map<K,V>)
    • jsat.utils.IntDoubleMap
    • jsat.utils.IntDoubleMapArray
    • jsat.utils.LongDoubleMap
  • jsat.classifiers.evaluation.Accuracy (implements jsat.classifiers.evaluation.ClassificationScore)
  • jsat.classifiers.boosting.AdaBoostM1 (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized)
    • jsat.classifiers.boosting.AdaBoostM1PL
  • jsat.math.optimization.stochastic.AdaDelta (implements jsat.math.optimization.stochastic.GradientUpdater)
  • jsat.math.optimization.stochastic.AdaGrad (implements jsat.math.optimization.stochastic.GradientUpdater)
  • jsat.math.optimization.stochastic.Adam (implements jsat.math.optimization.stochastic.GradientUpdater)
  • jsat.clustering.evaluation.AdjustedRandIndex (implements jsat.clustering.evaluation.ClusterEvaluation)
  • jsat.classifiers.boosting.ArcX4 (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized)
  • jsat.ARFFLoader
  • jsat.utils.ArrayUtils
  • jsat.utils.concurrent.AtomicDouble
  • jsat.utils.concurrent.AtomicDoubleArray (implements java.io.Serializable)
  • jsat.classifiers.evaluation.AUC (implements jsat.classifiers.evaluation.ClassificationScore)
  • jsat.datatransform.AutoDeskewTransform (implements jsat.datatransform.InPlaceTransform)
  • jsat.regression.AveragedRegressor (implements jsat.regression.Regressor)
  • jsat.classifiers.neuralnetwork.BackPropagationNet (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.regression.Regressor)
  • jsat.classifiers.neuralnetwork.BackPropagationNet.ActivationFunction (implements jsat.math.Function)
  • jsat.math.optimization.BacktrackingArmijoLineSearch (implements jsat.math.optimization.LineSearch)
  • jsat.classifiers.boosting.Bagging (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.regression.Regressor)
  • jsat.driftdetectors.BaseDriftDetector<V> (implements java.lang.Cloneable, java.io.Serializable)
    • jsat.driftdetectors.ADWIN<V>
    • jsat.driftdetectors.DDM<V>
  • jsat.distributions.kernels.BaseKernelTrick (implements jsat.distributions.kernels.KernelTrick)
    • jsat.distributions.kernels.LinearKernel
    • jsat.distributions.kernels.PolynomialKernel
    • jsat.distributions.kernels.SigmoidKernel
  • jsat.distributions.kernels.BaseL2Kernel (implements jsat.distributions.kernels.KernelTrick)
    • jsat.distributions.kernels.PukKernel (implements jsat.parameters.Parameterized)
    • jsat.distributions.kernels.RationalQuadraticKernel
    • jsat.distributions.kernels.RBFKernel
  • jsat.classifiers.BaseUpdateableClassifier (implements jsat.classifiers.UpdateableClassifier)
    • jsat.classifiers.linear.ALMA2 (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.SingleWeightVectorModel)
    • jsat.classifiers.linear.kernelized.ALMA2K (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized)
    • jsat.classifiers.bayesian.AODE
    • jsat.classifiers.linear.AROW (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized, jsat.SingleWeightVectorModel)
    • jsat.classifiers.linear.kernelized.BOGD (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized)
    • jsat.classifiers.linear.kernelized.CSKLR (implements jsat.parameters.Parameterized)
    • jsat.classifiers.linear.kernelized.DUOL (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized)
    • jsat.classifiers.linear.kernelized.Forgetron (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized)
    • jsat.classifiers.linear.LinearSGD (implements jsat.parameters.Parameterized, jsat.SimpleWeightVectorModel, jsat.regression.UpdateableRegressor)
    • jsat.classifiers.bayesian.MultinomialNaiveBayes (implements jsat.parameters.Parameterized)
    • jsat.classifiers.bayesian.NaiveBayesUpdateable
    • jsat.classifiers.linear.NHERD (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized, jsat.SingleWeightVectorModel)
    • jsat.classifiers.bayesian.ODE
    • jsat.classifiers.svm.extended.OnlineAMM (implements jsat.parameters.Parameterized)
      • jsat.classifiers.svm.extended.AMM
    • jsat.classifiers.linear.kernelized.OSKL (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized)
    • jsat.classifiers.linear.kernelized.Projectron (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized)
    • jsat.classifiers.linear.ROMMA (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.SingleWeightVectorModel)
    • jsat.classifiers.linear.SCW (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized, jsat.SingleWeightVectorModel)
    • jsat.classifiers.linear.SPA (implements jsat.parameters.Parameterized, jsat.SimpleWeightVectorModel)
    • jsat.classifiers.linear.STGD (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized, jsat.SingleWeightVectorModel, jsat.regression.UpdateableRegressor)
  • jsat.regression.BaseUpdateableRegressor (implements jsat.regression.UpdateableRegressor)
  • jsat.text.BasicTextVectorCreator (implements jsat.text.TextVectorCreator)
  • jsat.classifiers.linear.BBR (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.SingleWeightVectorModel)
  • jsat.datatransform.featureselection.BDS (implements jsat.datatransform.DataTransform)
  • jsat.classifiers.bayesian.BestClassDistribution (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized)
    • jsat.classifiers.bayesian.MultivariateNormals
  • jsat.math.optimization.BFGS (implements jsat.math.optimization.Optimizer2)
  • jsat.classifiers.calibration.BinaryCalibration (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized)
    • jsat.classifiers.calibration.IsotonicCalibration
    • jsat.classifiers.calibration.PlattCalibration
  • jsat.math.rootfinding.Bisection (implements jsat.math.rootfinding.RootFinder)
  • jsat.distributions.empirical.kernelfunc.BiweightKF (implements jsat.distributions.empirical.kernelfunc.KernelFunction)
  • jsat.classifiers.CategoricalData (implements java.lang.Cloneable, java.io.Serializable)
  • jsat.classifiers.CategoricalResults (implements java.lang.Cloneable, java.io.Serializable)
  • jsat.linear.distancemetrics.ChebyshevDistance (implements jsat.linear.distancemetrics.DistanceMetric)
  • jsat.linear.CholeskyDecomposition (implements java.io.Serializable)
  • jsat.classifiers.ClassificationModelEvaluation
  • jsat.utils.ClosedHashingUtil
  • jsat.clustering.ClustererBase (implements jsat.clustering.Clusterer)
    • jsat.clustering.DBSCAN
    • jsat.clustering.FLAME (implements jsat.parameters.Parameterized)
    • jsat.clustering.HDBSCAN (implements jsat.parameters.Parameterized)
    • jsat.clustering.KClustererBase (implements jsat.clustering.KClusterer)
      • jsat.clustering.hierarchical.DivisiveGlobalClusterer
      • jsat.clustering.hierarchical.DivisiveLocalClusterer
      • jsat.clustering.EMGaussianMixture (implements jsat.distributions.multivariate.MultivariateDistribution)
      • jsat.clustering.GapStatistic (implements jsat.parameters.Parameterized)
      • jsat.clustering.kmeans.KernelKMeans (implements jsat.parameters.Parameterized)
        • jsat.clustering.kmeans.ElkanKernelKMeans
        • jsat.clustering.kmeans.LloydKernelKMeans
      • jsat.clustering.kmeans.KMeans (implements jsat.parameters.Parameterized)
        • jsat.clustering.kmeans.ElkanKMeans
        • jsat.clustering.kmeans.GMeans
        • jsat.clustering.kmeans.HamerlyKMeans
        • jsat.clustering.kmeans.KMeansPDN
        • jsat.clustering.kmeans.NaiveKMeans
        • jsat.clustering.kmeans.XMeans
      • jsat.clustering.kmeans.MiniBatchKMeans
      • jsat.clustering.hierarchical.NNChainHAC
      • jsat.clustering.PAM
        • jsat.clustering.CLARA
      • jsat.clustering.hierarchical.PriorityHAC
      • jsat.clustering.hierarchical.SimpleHAC
    • jsat.clustering.LSDBC (implements jsat.parameters.Parameterized)
    • jsat.clustering.MeanShift
    • jsat.clustering.OPTICS (implements jsat.parameters.Parameterized)
  • jsat.clustering.evaluation.ClusterEvaluationBase (implements jsat.clustering.evaluation.ClusterEvaluation)
    • jsat.clustering.evaluation.IntraClusterSumEvaluation
  • jsat.math.Complex (implements java.lang.Cloneable, java.io.Serializable)
  • jsat.utils.concurrent.ConcurrentCacheLRU<K,V>
  • jsat.classifiers.bayesian.ConditionalProbabilityTable (implements jsat.classifiers.Classifier)
  • jsat.linear.solvers.ConjugateGradient
  • jsat.classifiers.neuralnetwork.initializers.ConstantInit (implements jsat.classifiers.neuralnetwork.initializers.BiastInitializer)
  • jsat.math.ContinuedFraction
  • jsat.linear.distancemetrics.CosineDistance (implements jsat.linear.distancemetrics.DistanceMetric)
  • jsat.linear.distancemetrics.CosineDistanceNormalized (implements jsat.linear.distancemetrics.DistanceMetric)
  • jsat.linear.vectorcollection.CoverTree<V> (implements jsat.linear.vectorcollection.IncrementalCollection<V>)
  • jsat.linear.vectorcollection.CoverTree.CoverTreeFactory<V> (implements jsat.linear.vectorcollection.VectorCollectionFactory<V>)
  • jsat.classifiers.svm.extended.CPM (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.classifiers.Classifier, jsat.parameters.Parameterized)
  • jsat.io.CSV
  • jsat.classifiers.knn.DANN (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized)
  • jsat.datatransform.DataModelPipeline (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.regression.Regressor)
  • jsat.classifiers.DataPoint (implements java.lang.Cloneable, java.io.Serializable)
  • jsat.classifiers.DataPointPair<P> (implements java.io.Serializable)
  • jsat.DataSet<Type>
    • jsat.classifiers.ClassificationDataSet
    • jsat.regression.RegressionDataSet
    • jsat.SimpleDataSet
  • jsat.datatransform.DataTransformBase (implements jsat.datatransform.DataTransform, jsat.parameters.Parameterized)
    • jsat.datatransform.JLTransform
    • jsat.datatransform.kernel.KernelPCA
    • jsat.datatransform.kernel.Nystrom
    • jsat.datatransform.kernel.RFF_RBF
    • jsat.datatransform.WhitenedPCA
      • jsat.datatransform.WhitenedZCA (implements jsat.datatransform.InPlaceTransform)
  • jsat.datatransform.DataTransformProcess (implements jsat.datatransform.DataTransform, jsat.parameters.Parameterized)
  • jsat.clustering.evaluation.DaviesBouldinIndex (implements jsat.clustering.evaluation.ClusterEvaluation)
  • jsat.classifiers.svm.DCD (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized, jsat.regression.Regressor, jsat.SingleWeightVectorModel)
  • jsat.classifiers.svm.DCDs (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized, jsat.regression.Regressor, jsat.SingleWeightVectorModel, jsat.classifiers.WarmClassifier, jsat.regression.WarmRegressor)
  • jsat.classifiers.trees.DecisionStump (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.regression.Regressor)
  • jsat.classifiers.trees.DecisionTree (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.regression.Regressor, jsat.classifiers.trees.TreeLearner)
    • jsat.classifiers.trees.RandomDecisionTree
  • jsat.linear.vectorcollection.DefaultVectorCollectionFactory<V> (implements jsat.linear.vectorcollection.VectorCollectionFactory<V>)
  • jsat.datatransform.DenseSparceTransform (implements jsat.datatransform.DataTransform)
  • jsat.math.DescriptiveStatistics
  • jsat.classifiers.bayesian.graphicalmodel.DirectedGraph<N> (implements java.lang.Cloneable)
  • jsat.classifiers.bayesian.graphicalmodel.DiscreteBayesNetwork (implements jsat.classifiers.Classifier)
    • jsat.classifiers.bayesian.graphicalmodel.K2NetworkLearner
  • jsat.linear.distancemetrics.DistanceCounter (implements jsat.linear.distancemetrics.DistanceMetric)
  • jsat.distributions.kernels.DistanceMetricBasedKernel (implements jsat.distributions.kernels.KernelTrick)
    • jsat.distributions.kernels.GeneralRBFKernel
  • jsat.distributions.Distribution (implements java.lang.Cloneable, java.io.Serializable)
    • jsat.distributions.ContinuousDistribution
      • jsat.distributions.Beta
      • jsat.distributions.Cauchy
      • jsat.distributions.ChiSquared
      • jsat.distributions.Exponential
      • jsat.distributions.FisherSendor
      • jsat.distributions.Gamma
      • jsat.distributions.empirical.KernelDensityEstimator
      • jsat.distributions.Kolmogorov
      • jsat.distributions.Laplace
      • jsat.distributions.Levy
      • jsat.distributions.Logistic
      • jsat.distributions.LogNormal
      • jsat.distributions.LogUniform
      • jsat.distributions.MaxwellBoltzmann
      • jsat.distributions.Normal
      • jsat.distributions.Pareto
      • jsat.distributions.Rayleigh
      • jsat.distributions.StudentT
      • jsat.distributions.TruncatedDistribution
      • jsat.distributions.Uniform
      • jsat.distributions.Weibull
    • jsat.distributions.discrete.DiscreteDistribution
      • jsat.distributions.discrete.Binomial
      • jsat.distributions.discrete.Poisson
      • jsat.distributions.discrete.UniformDiscrete
  • jsat.distributions.DistributionSearch
  • jsat.classifiers.neuralnetwork.DReDNetSimple (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized)
  • jsat.clustering.evaluation.DunnIndex (implements jsat.clustering.evaluation.ClusterEvaluation)
  • jsat.linear.vectorcollection.lsh.E2LSH<V>
  • jsat.linear.EigenValueDecomposition (implements java.io.Serializable)
  • jsat.classifiers.boosting.EmphasisBoost (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.classifiers.Classifier, jsat.parameters.Parameterized)
  • jsat.distributions.empirical.kernelfunc.EpanechnikovKF (implements jsat.distributions.empirical.kernelfunc.KernelFunction)
  • jsat.lossfunctions.EpsilonInsensitiveLoss (implements jsat.lossfunctions.LossR)
  • jsat.linear.vectorcollection.EuclideanCollection<V> (implements jsat.linear.vectorcollection.VectorCollection<V>)
  • jsat.linear.vectorcollection.EuclideanCollection.EuclideanCollectionFactory<V> (implements jsat.linear.vectorcollection.VectorCollectionFactory<V>)
  • jsat.linear.distancemetrics.EuclideanDistance (implements jsat.linear.distancemetrics.DenseSparseMetric)
  • jsat.math.ExponentialMovingStatistics (implements java.lang.Cloneable, java.io.Serializable)
  • jsat.math.decayrates.ExponetialDecay (implements jsat.math.decayrates.DecayRate, jsat.parameters.Parameterized)
  • jsat.classifiers.trees.ExtraTree (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.regression.Regressor, jsat.classifiers.trees.TreeLearner)
    • jsat.classifiers.trees.ERTrees
  • jsat.utils.FakeExecutor (implements java.util.concurrent.ExecutorService)
  • jsat.datatransform.FastICA (implements jsat.datatransform.InvertibleTransform)
  • jsat.math.FastMath
  • jsat.utils.FibHeap<T>
  • jsat.utils.FibHeap.FibNode<T>
  • jsat.math.FunctionBase (implements jsat.math.Function)
  • jsat.classifiers.neuralnetwork.initializers.GaussianNormalInit (implements jsat.classifiers.neuralnetwork.initializers.BiastInitializer, jsat.classifiers.neuralnetwork.initializers.WeightInitializer)
  • jsat.distributions.empirical.kernelfunc.GaussKF (implements jsat.distributions.empirical.kernelfunc.KernelFunction)
  • jsat.math.optimization.GoldenSearch
  • jsat.math.optimization.oned.GoldenSearch
  • jsat.text.GreekLetters
  • jsat.utils.GridDataGenerator
  • jsat.text.HashedTextDataLoader (implements jsat.text.TextVectorCreator)
    • jsat.text.ClassificationHashedTextDataLoader
  • jsat.text.HashedTextVectorCreator (implements jsat.text.TextVectorCreator)
  • jsat.linear.HessenbergForm (implements java.io.Serializable)
  • jsat.lossfunctions.HingeLoss (implements jsat.lossfunctions.LossMC)
  • jsat.lossfunctions.HuberLoss (implements jsat.lossfunctions.LossR)
  • jsat.classifiers.trees.ID3 (implements jsat.classifiers.Classifier)
  • jsat.classifiers.trees.ImportanceByUses (implements jsat.classifiers.trees.TreeFeatureImportanceInference)
  • jsat.classifiers.trees.ImpurityScore (implements java.lang.Cloneable)
  • jsat.datatransform.Imputer (implements jsat.datatransform.InPlaceTransform)
  • jsat.math.IndexFunction (implements jsat.math.Function)
    • jsat.text.wordweighting.WordWeighting
      • jsat.text.wordweighting.BinaryWordPresent
      • jsat.text.wordweighting.OkapiBM25
      • jsat.text.wordweighting.TfIdf
      • jsat.text.wordweighting.WordCount
  • jsat.utils.IndexTable (implements java.io.Serializable)
  • jsat.linear.IndexValue
  • jsat.datatransform.InsertMissingValuesTransform (implements jsat.datatransform.InPlaceTransform)
  • jsat.math.decayrates.InverseDecay (implements jsat.math.decayrates.DecayRate, jsat.parameters.Parameterized)
  • jsat.datatransform.InverseOfTransform (implements jsat.datatransform.DataTransform)
  • jsat.datatransform.visualization.Isomap (implements jsat.datatransform.visualization.VisualizationTransform)
  • jsat.utils.IterableIterator<T> (implements java.lang.Iterable<T>)
  • jsat.math.optimization.IterativelyReweightedLeastSquares (implements jsat.math.optimization.Optimizer)
  • jsat.io.JSATData
  • jsat.classifiers.evaluation.Kappa (implements jsat.classifiers.evaluation.ClassificationScore)
  • jsat.linear.vectorcollection.KDTree<V> (implements jsat.linear.vectorcollection.VectorCollection<V>)
  • jsat.linear.vectorcollection.KDTree.KDTreeFactory<V> (implements jsat.linear.vectorcollection.VectorCollectionFactory<V>)
  • jsat.linear.distancemetrics.KernelDistance (implements jsat.linear.distancemetrics.DistanceMetric)
  • jsat.distributions.kernels.KernelPoint
  • jsat.distributions.kernels.KernelPoints
  • jsat.regression.KernelRidgeRegression (implements jsat.parameters.Parameterized, jsat.regression.Regressor)
  • jsat.regression.KernelRLS (implements jsat.parameters.Parameterized, jsat.regression.UpdateableRegressor)
  • jsat.classifiers.linear.kernelized.KernelSGD (implements jsat.parameters.Parameterized, jsat.classifiers.UpdateableClassifier, jsat.regression.UpdateableRegressor)
  • jsat.testing.goodnessoffit.KSTest
  • jsat.datatransform.visualization.LargeViz (implements jsat.datatransform.visualization.VisualizationTransform)
  • jsat.math.optimization.LBFGS (implements jsat.math.optimization.Optimizer2)
  • jsat.io.LIBSVMLoader
  • jsat.classifiers.linear.LinearBatch (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.regression.Regressor, jsat.SimpleWeightVectorModel, jsat.classifiers.WarmClassifier, jsat.regression.WarmRegressor)
  • jsat.classifiers.linear.LinearBatch.GradFunction (implements jsat.math.FunctionVec)
  • jsat.classifiers.linear.LinearBatch.LossFunction (implements jsat.math.FunctionP)
  • jsat.classifiers.linear.LinearBatch.LossMCFunction (implements jsat.math.FunctionP)
  • jsat.math.decayrates.LinearDecay (implements jsat.math.decayrates.DecayRate, jsat.parameters.Parameterized)
  • jsat.classifiers.neuralnetwork.activations.LinearLayer (implements jsat.classifiers.neuralnetwork.activations.ActivationLayer)
  • jsat.classifiers.linear.LinearTools
  • jsat.datatransform.LinearTransform (implements jsat.datatransform.InPlaceInvertibleTransform)
  • jsat.utils.ListUtils
  • jsat.lossfunctions.LogisticLoss (implements jsat.lossfunctions.LossC)
    • jsat.lossfunctions.SoftmaxLoss (implements jsat.lossfunctions.LossMC)
  • jsat.regression.LogisticRegression (implements jsat.classifiers.Classifier, jsat.regression.Regressor, jsat.SingleWeightVectorModel)
  • jsat.classifiers.linear.LogisticRegressionDCD (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.SingleWeightVectorModel)
  • jsat.classifiers.boosting.LogitBoost (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized)
    • jsat.classifiers.boosting.LogitBoostPL
  • jsat.classifiers.evaluation.LogLoss (implements jsat.classifiers.evaluation.ClassificationScore)
  • jsat.datatransform.featureselection.LRS (implements jsat.datatransform.DataTransform)
  • jsat.linear.LUPDecomposition (implements java.lang.Cloneable, java.io.Serializable)
  • jsat.classifiers.neuralnetwork.LVQ (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized)
    • jsat.classifiers.neuralnetwork.LVQLLC
  • jsat.classifiers.knn.LWL (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.regression.Regressor)
  • jsat.classifiers.MajorityVote (implements jsat.classifiers.Classifier)
  • jsat.linear.distancemetrics.ManhattanDistance (implements jsat.linear.distancemetrics.DenseSparseMetric)
  • jsat.math.MathTricks
  • jsat.linear.Matrix (implements java.lang.Cloneable, java.io.Serializable)
    • jsat.linear.GenericMatrix
      • jsat.linear.DenseMatrix
      • jsat.linear.MatrixOfVecs
      • jsat.linear.RandomMatrix
      • jsat.linear.SubMatrix
      • jsat.linear.TransposeView
    • jsat.linear.SparseMatrix
  • jsat.linear.MatrixStatistics
  • jsat.classifiers.neuralnetwork.regularizers.Max2NormRegularizer (implements jsat.classifiers.neuralnetwork.regularizers.WeightRegularizer)
  • jsat.clustering.evaluation.intra.MaxDistance (implements jsat.clustering.evaluation.intra.IntraClusterEvaluation)
  • jsat.classifiers.trees.MDA (implements jsat.classifiers.trees.TreeFeatureImportanceInference)
  • jsat.classifiers.trees.MDI (implements jsat.classifiers.trees.TreeFeatureImportanceInference)
  • jsat.datatransform.visualization.MDS (implements jsat.datatransform.visualization.VisualizationTransform)
  • jsat.regression.evaluation.MeanAbsoluteError (implements jsat.regression.evaluation.RegressionScore)
  • jsat.clustering.evaluation.intra.MeanCentroidDistance (implements jsat.clustering.evaluation.intra.IntraClusterEvaluation)
  • jsat.clustering.evaluation.intra.MeanDistance (implements jsat.clustering.evaluation.intra.IntraClusterEvaluation)
  • jsat.regression.evaluation.MeanSquaredError (implements jsat.regression.evaluation.RegressionScore)
  • jsat.linear.distancemetrics.MinkowskiDistance (implements jsat.linear.distancemetrics.DenseSparseMetric)
  • jsat.parameters.ModelSearch (implements jsat.classifiers.Classifier, jsat.regression.Regressor)
    • jsat.parameters.GridSearch
    • jsat.parameters.RandomSearch
  • jsat.classifiers.boosting.ModestAdaBoost (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.classifiers.Classifier, jsat.parameters.Parameterized)
  • jsat.utils.ModifiableCountDownLatch
  • jsat.math.optimization.ModifiedOWLQN (implements jsat.math.optimization.Optimizer2)
  • jsat.classifiers.MultinomialLogisticRegression (implements jsat.classifiers.Classifier)
  • jsat.regression.MultipleLinearRegression (implements jsat.regression.Regressor, jsat.SingleWeightVectorModel)
  • jsat.distributions.multivariate.MultivariateDistributionSkeleton (implements jsat.distributions.multivariate.MultivariateDistribution)
    • jsat.distributions.multivariate.Dirichlet
    • jsat.distributions.multivariate.MultivariateKDE
      • jsat.distributions.multivariate.MetricKDE (implements jsat.parameters.Parameterized)
      • jsat.distributions.multivariate.ProductKDE
    • jsat.distributions.multivariate.NormalM
    • jsat.distributions.multivariate.SymmetricDirichlet
  • jsat.math.optimization.stochastic.NAdaGrad (implements jsat.math.optimization.stochastic.GradientUpdater)
  • jsat.regression.NadarayaWatson (implements jsat.parameters.Parameterized, jsat.regression.Regressor)
  • jsat.classifiers.bayesian.NaiveBayes (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized)
  • jsat.text.tokenizer.NaiveTokenizer (implements jsat.text.tokenizer.Tokenizer)
  • jsat.classifiers.knn.NearestNeighbour (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.regression.Regressor)
  • jsat.math.optimization.NelderMead (implements jsat.math.optimization.Optimizer)
  • jsat.classifiers.linear.NewGLMNET (implements jsat.parameters.Parameterized, jsat.SingleWeightVectorModel, jsat.classifiers.WarmClassifier)
  • jsat.text.tokenizer.NGramTokenizer (implements jsat.text.tokenizer.Tokenizer)
  • jsat.math.decayrates.NoDecay (implements jsat.math.decayrates.DecayRate)
  • jsat.datatransform.NominalToNumeric (implements jsat.datatransform.DataTransform)
  • jsat.distributions.kernels.NormalizedKernel (implements jsat.distributions.kernels.KernelTrick)
  • jsat.clustering.evaluation.NormalizedMutualInformation (implements jsat.clustering.evaluation.ClusterEvaluation)
  • jsat.datatransform.NumericalToHistogram (implements jsat.datatransform.DataTransform)
  • jsat.classifiers.OneVSAll (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized)
  • jsat.classifiers.OneVSOne (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized)
    • jsat.classifiers.DDAG
  • jsat.text.topicmodel.OnlineLDAsvi (implements jsat.parameters.Parameterized)
  • jsat.math.OnLineStatistics (implements java.lang.Cloneable, java.io.Serializable)
  • jsat.regression.OrdinaryKriging (implements jsat.parameters.Parameterized, jsat.regression.Regressor)
  • jsat.regression.OrdinaryKriging.PowVariogram (implements jsat.regression.OrdinaryKriging.Variogram)
  • jsat.utils.Pair<X,Y>
  • jsat.utils.PairedReturn<T,V>
  • jsat.utils.concurrent.ParallelUtils
  • jsat.parameters.Parameter (implements java.io.Serializable)
    • jsat.parameters.BooleanParameter
    • jsat.parameters.DoubleParameter
    • jsat.parameters.IntParameter
    • jsat.parameters.MetricParameter
    • jsat.parameters.ObjectParameter<T>
      • jsat.parameters.DecayRateParameter
      • jsat.parameters.KernelFunctionParameter
  • jsat.classifiers.linear.PassiveAggressive (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized, jsat.SingleWeightVectorModel, jsat.classifiers.UpdateableClassifier, jsat.regression.UpdateableRegressor)
  • jsat.datatransform.PCA (implements jsat.datatransform.DataTransform)
  • jsat.linear.distancemetrics.PearsonDistance (implements jsat.linear.distancemetrics.DistanceMetric)
  • jsat.classifiers.svm.Pegasos (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized, jsat.SingleWeightVectorModel)
  • jsat.classifiers.neuralnetwork.Perceptron (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.SingleWeightVectorModel)
  • jsat.datatransform.PNormNormalization (implements jsat.datatransform.InPlaceTransform)
  • jsat.utils.PoisonRunnable (implements java.lang.Runnable)
  • jsat.datatransform.PolynomialTransform (implements jsat.datatransform.DataTransform)
  • jsat.math.decayrates.PowerDecay (implements jsat.math.decayrates.DecayRate, jsat.parameters.Parameterized)
  • jsat.classifiers.PriorClassifier (implements jsat.classifiers.Classifier)
  • jsat.utils.ProbailityMatch<T> (implements java.lang.Comparable<T>, java.io.Serializable)
  • jsat.linear.QRDecomposition (implements java.io.Serializable)
  • jsat.utils.QuickSort
  • java.util.Random (implements java.io.Serializable)
    • jsat.utils.random.CMWC4096
    • jsat.utils.random.XOR128
    • jsat.utils.random.XOR96
    • jsat.utils.random.XORWOW
  • jsat.linear.vectorcollection.RandomBallCover<V> (implements jsat.linear.vectorcollection.IncrementalCollection<V>)
  • jsat.linear.vectorcollection.RandomBallCover.RandomBallCoverFactory<V> (implements jsat.linear.vectorcollection.VectorCollectionFactory<V>)
  • jsat.linear.vectorcollection.RandomBallCoverOneShot<V> (implements jsat.linear.vectorcollection.VectorCollection<V>)
  • jsat.linear.vectorcollection.RandomBallCoverOneShot.RandomBallCoverOneShotFactory<V> (implements jsat.linear.vectorcollection.VectorCollectionFactory<V>)
  • jsat.classifiers.trees.RandomForest (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.regression.Regressor)
  • jsat.linear.vectorcollection.lsh.RandomProjectionLSH<V> (implements jsat.linear.vectorcollection.VectorCollection<V>)
  • jsat.linear.vectorcollection.lsh.RandomProjectionLSH.RandomProjectionLSHFactory<V> (implements jsat.linear.vectorcollection.VectorCollectionFactory<V>)
  • jsat.utils.random.RandomUtil
  • jsat.regression.RANSAC (implements jsat.parameters.Parameterized, jsat.regression.Regressor)
  • jsat.classifiers.neuralnetwork.RBFNet (implements jsat.classifiers.Classifier, jsat.datatransform.DataTransform, jsat.parameters.Parameterized, jsat.regression.Regressor)
  • jsat.regression.RegressionModelEvaluation
  • jsat.classifiers.RegressorToClassifier (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized)
  • jsat.classifiers.neuralnetwork.activations.ReLU (implements jsat.classifiers.neuralnetwork.activations.ActivationLayer)
  • jsat.datatransform.RemoveAttributeTransform (implements jsat.datatransform.DataTransform)
    • jsat.datatransform.featureselection.MutualInfoFS
    • jsat.datatransform.featureselection.ReliefF
    • jsat.datatransform.featureselection.SBS
  • jsat.math.rootfinding.RiddersMethod (implements jsat.math.rootfinding.RootFinder)
  • jsat.regression.RidgeRegression (implements jsat.parameters.Parameterized, jsat.regression.Regressor)
  • jsat.math.optimization.stochastic.RMSProp (implements jsat.math.optimization.stochastic.GradientUpdater)
  • jsat.classifiers.Rocchio (implements jsat.classifiers.Classifier)
  • jsat.math.integration.Romberg
  • jsat.math.optimization.RosenbrockFunction (implements jsat.math.Function)
  • jsat.linear.RowColumnOps
  • jsat.math.optimization.stochastic.Rprop (implements jsat.math.optimization.stochastic.GradientUpdater)
  • jsat.linear.vectorcollection.RTree<V> (implements jsat.linear.vectorcollection.VectorCollection<V>)
  • jsat.linear.vectorcollection.RTree.RTreeFactory<V> (implements jsat.linear.vectorcollection.VectorCollectionFactory<V>)
  • jsat.utils.RunnableConsumer (implements java.lang.Runnable)
  • jsat.classifiers.boosting.SAMME (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized)
  • jsat.classifiers.linear.SCD (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.regression.Regressor, jsat.SingleWeightVectorModel)
  • jsat.math.rootfinding.Secant (implements jsat.math.rootfinding.RootFinder)
  • jsat.clustering.SeedSelectionMethods
  • jsat.datatransform.featureselection.SFS (implements jsat.datatransform.DataTransform)
  • jsat.math.optimization.stochastic.SGDMomentum (implements jsat.math.optimization.stochastic.GradientUpdater)
  • jsat.classifiers.neuralnetwork.SGDNetworkTrainer (implements java.io.Serializable)
  • jsat.classifiers.neuralnetwork.activations.SigmoidLayer (implements jsat.classifiers.neuralnetwork.activations.ActivationLayer)
  • jsat.classifiers.evaluation.SimpleBinaryClassMetric (implements jsat.classifiers.evaluation.ClassificationScore)
    • jsat.classifiers.evaluation.F1Score
    • jsat.classifiers.evaluation.FbetaScore
    • jsat.classifiers.evaluation.MatthewsCorrelationCoefficient
    • jsat.classifiers.evaluation.Precision
    • jsat.classifiers.evaluation.Recall
  • jsat.math.SimpleLinearRegression
  • jsat.math.optimization.stochastic.SimpleSGD (implements jsat.math.optimization.stochastic.GradientUpdater)
  • jsat.linear.SingularValueDecomposition (implements java.lang.Cloneable, java.io.Serializable)
  • jsat.classifiers.neuralnetwork.activations.SoftmaxLayer (implements jsat.classifiers.neuralnetwork.activations.ActivationLayer)
  • jsat.classifiers.neuralnetwork.activations.SoftSignLayer (implements jsat.classifiers.neuralnetwork.activations.ActivationLayer)
  • jsat.classifiers.neuralnetwork.SOM (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized)
  • jsat.clustering.evaluation.intra.SoSCentroidDistance (implements jsat.clustering.evaluation.intra.IntraClusterEvaluation)
  • jsat.math.SpecialMath
  • jsat.linear.distancemetrics.SquaredEuclideanDistance (implements jsat.linear.distancemetrics.DistanceMetric)
  • jsat.lossfunctions.SquaredLoss (implements jsat.lossfunctions.LossR)
  • jsat.classifiers.boosting.Stacking (implements jsat.classifiers.Classifier, jsat.regression.Regressor)
  • jsat.datatransform.StandardizeTransform (implements jsat.datatransform.InPlaceTransform)
  • jsat.text.stemming.Stemmer (implements java.io.Serializable)
    • jsat.text.stemming.LovinsStemmer
    • jsat.text.stemming.PaiceHuskStemmer
    • jsat.text.stemming.PorterStemmer
    • jsat.text.stemming.VoidStemmer
  • jsat.text.tokenizer.StemmingTokenizer (implements jsat.text.tokenizer.Tokenizer)
  • jsat.regression.StochasticGradientBoosting (implements jsat.parameters.Parameterized, jsat.regression.Regressor)
  • jsat.classifiers.linear.StochasticMultinomialLogisticRegression (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.SimpleWeightVectorModel)
  • jsat.regression.StochasticRidgeRegression (implements jsat.parameters.Parameterized, jsat.regression.Regressor, jsat.SingleWeightVectorModel)
  • jsat.classifiers.linear.StochasticSTLinearL1 (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.regression.Regressor, jsat.SingleWeightVectorModel)
    • jsat.classifiers.linear.LinearL1SCD
    • jsat.classifiers.linear.SMIDAS
  • jsat.text.tokenizer.StopWordTokenizer (implements jsat.text.tokenizer.Tokenizer)
  • jsat.utils.StringUtils
  • jsat.clustering.evaluation.intra.SumOfSqrdPairwiseDistances (implements jsat.clustering.evaluation.intra.IntraClusterEvaluation)
  • jsat.classifiers.svm.SupportVectorLearner (implements java.io.Serializable)
    • jsat.classifiers.linear.kernelized.CSKLRBatch (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized)
    • jsat.classifiers.svm.DCSVM (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.classifiers.Classifier, jsat.parameters.Parameterized)
    • jsat.classifiers.svm.LSSVM (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized, jsat.regression.Regressor, jsat.classifiers.WarmClassifier, jsat.regression.WarmRegressor)
    • jsat.classifiers.svm.PegasosK (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized)
    • jsat.classifiers.svm.PlattSMO (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized, jsat.classifiers.WarmClassifier, jsat.regression.WarmRegressor)
    • jsat.classifiers.svm.SBP (implements jsat.classifiers.calibration.BinaryScoreClassifier, jsat.parameters.Parameterized)
    • jsat.classifiers.svm.SVMnoBias (implements jsat.classifiers.calibration.BinaryScoreClassifier)
  • jsat.utils.SystemInfo
  • jsat.classifiers.neuralnetwork.initializers.TanhInitializer (implements jsat.classifiers.neuralnetwork.initializers.BiastInitializer, jsat.classifiers.neuralnetwork.initializers.WeightInitializer)
  • jsat.classifiers.neuralnetwork.activations.TanhLayer (implements jsat.classifiers.neuralnetwork.activations.ActivationLayer)
  • jsat.text.TextDataLoader (implements jsat.text.TextVectorCreator)
    • jsat.text.ClassificationTextDataLoader
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Exception
      • java.lang.RuntimeException
        • jsat.clustering.ClusterFailureException
        • jsat.exceptions.FailedToFitException
        • jsat.exceptions.ModelMismatchException
        • jsat.driftdetectors.UnhandledDriftException
        • jsat.exceptions.UntrainedModelException
  • jsat.regression.evaluation.TotalHistoryRegressionScore (implements jsat.regression.evaluation.RegressionScore)
    • jsat.regression.evaluation.CoefficientOfDetermination
    • jsat.regression.evaluation.RelativeAbsoluteError
    • jsat.regression.evaluation.RelativeSquaredError
  • jsat.linear.distancemetrics.TrainableDistanceMetric (implements jsat.linear.distancemetrics.DistanceMetric)
    • jsat.linear.distancemetrics.MahalanobisDistance
    • jsat.linear.distancemetrics.NormalizedEuclideanDistance
  • jsat.math.integration.Trapezoidal
  • jsat.utils.concurrent.TreeBarrier
  • jsat.classifiers.trees.TreeNodeVisitor (implements java.lang.Cloneable, java.io.Serializable)
    • jsat.classifiers.trees.DecisionTree.Node
  • jsat.classifiers.trees.TreePruner
  • jsat.math.TrigMath
  • jsat.distributions.empirical.kernelfunc.TriweightKF (implements jsat.distributions.empirical.kernelfunc.KernelFunction)
  • jsat.datatransform.visualization.TSNE (implements jsat.datatransform.visualization.VisualizationTransform)
  • jsat.testing.onesample.TTest (implements jsat.testing.onesample.OneSampleTest)
  • jsat.utils.Tuple3<X,Y,Z>
  • jsat.distributions.empirical.kernelfunc.UniformKF (implements jsat.distributions.empirical.kernelfunc.KernelFunction)
  • jsat.utils.UnionFind<X>
  • jsat.datatransform.UnitVarianceTransform (implements jsat.datatransform.InPlaceTransform)
  • jsat.classifiers.boosting.UpdatableStacking (implements jsat.classifiers.UpdateableClassifier, jsat.regression.UpdateableRegressor)
  • jsat.linear.Vec (implements java.lang.Cloneable, java.lang.Iterable<T>, java.io.Serializable)
    • jsat.linear.ConcatenatedVec
    • jsat.linear.ConstantVector
    • jsat.linear.DenseVector
    • jsat.linear.Poly2Vec
    • jsat.linear.RandomVector
    • jsat.linear.ScaledVector
    • jsat.linear.ShiftedVec
    • jsat.linear.SparseVector
    • jsat.linear.SubVector
    • jsat.linear.VecPaired<V,P>
      • jsat.linear.VecPairedComparable<V,P> (implements java.lang.Comparable<T>)
    • jsat.linear.VecWithNorm
  • jsat.linear.VecOps
  • jsat.linear.vectorcollection.VectorArray.VectorArrayFactory<V> (implements jsat.linear.vectorcollection.VectorCollectionFactory<V>)
  • jsat.linear.vectorcollection.VectorCollectionUtils
  • jsat.linear.vectorcollection.VPTree<V> (implements jsat.linear.vectorcollection.IncrementalCollection<V>)
    • jsat.linear.vectorcollection.VPTreeMV<V>
  • jsat.linear.vectorcollection.VPTree.VPTreeFactory<V> (implements jsat.linear.vectorcollection.VectorCollectionFactory<V>)
  • jsat.linear.vectorcollection.VPTreeMV.VPTreeMVFactory<V> (implements jsat.linear.vectorcollection.VectorCollectionFactory<V>)
  • jsat.classifiers.boosting.Wagging (implements jsat.classifiers.Classifier, jsat.parameters.Parameterized, jsat.regression.Regressor)
    • jsat.classifiers.boosting.WaggingNormal
  • jsat.linear.distancemetrics.WeightedEuclideanDistance (implements jsat.linear.distancemetrics.DistanceMetric)
  • jsat.math.optimization.WolfeNWLineSearch (implements jsat.math.optimization.LineSearch)
  • jsat.math.rootfinding.Zeroin (implements jsat.math.rootfinding.RootFinder)
  • jsat.datatransform.ZeroMeanTransform (implements jsat.datatransform.InPlaceInvertibleTransform)
  • jsat.testing.onesample.ZTest (implements jsat.testing.onesample.OneSampleTest)

Interface Hierarchy

• java.lang.Cloneable
  • jsat.classifiers.calibration.BinaryScoreClassifier
  • jsat.classifiers.Classifier (also extends java.io.Serializable)
    • jsat.classifiers.calibration.BinaryScoreClassifier
    • jsat.classifiers.UpdateableClassifier
    • jsat.classifiers.WarmClassifier
  • jsat.datatransform.DataTransform (also extends java.io.Serializable)
    • jsat.datatransform.InPlaceInvertibleTransform (also extends jsat.datatransform.InPlaceTransform, jsat.datatransform.InvertibleTransform)
    • jsat.datatransform.InPlaceTransform
      • jsat.datatransform.InPlaceInvertibleTransform (also extends jsat.datatransform.InvertibleTransform)
    • jsat.datatransform.InvertibleTransform
      • jsat.datatransform.InPlaceInvertibleTransform (also extends jsat.datatransform.InPlaceTransform)
  • jsat.linear.distancemetrics.DenseSparseMetric
  • jsat.linear.distancemetrics.DistanceMetric (also extends java.io.Serializable)
    • jsat.linear.distancemetrics.DenseSparseMetric
  • jsat.linear.vectorcollection.IncrementalCollection<V>
  • jsat.datatransform.InPlaceInvertibleTransform (also extends jsat.datatransform.InPlaceTransform, jsat.datatransform.InvertibleTransform)
  • jsat.datatransform.InPlaceTransform
    • jsat.datatransform.InPlaceInvertibleTransform (also extends jsat.datatransform.InvertibleTransform)
  • jsat.datatransform.InvertibleTransform
    • jsat.datatransform.InPlaceInvertibleTransform (also extends jsat.datatransform.InPlaceTransform)
  • jsat.distributions.kernels.KernelTrick (also extends jsat.parameters.Parameterized, java.io.Serializable)
  • jsat.distributions.multivariate.MultivariateDistribution (also extends java.io.Serializable)
  • jsat.regression.OrdinaryKriging.Variogram
  • jsat.regression.Regressor (also extends java.io.Serializable)
    • jsat.regression.UpdateableRegressor
    • jsat.regression.WarmRegressor
  • jsat.classifiers.UpdateableClassifier
  • jsat.regression.UpdateableRegressor
  • jsat.linear.vectorcollection.VectorCollection<V> (also extends java.io.Serializable)
    • jsat.linear.vectorcollection.IncrementalCollection<V>
  • jsat.linear.vectorcollection.VectorCollectionFactory<V> (also extends java.io.Serializable)
  • jsat.datatransform.visualization.VisualizationTransform (also extends java.io.Serializable)
  • jsat.classifiers.WarmClassifier
  • jsat.regression.WarmRegressor
• jsat.clustering.dissimilarity.ClusterDissimilarity
  • jsat.clustering.dissimilarity.UpdatableClusterDissimilarity
• jsat.clustering.evaluation.ClusterEvaluation
• jsat.datatransform.FastICA.NegEntropyFunc
• jsat.math.FunctionMat
• jsat.math.FunctionVec
• jsat.clustering.evaluation.intra.IntraClusterEvaluation
• jsat.math.optimization.LineSearch
• jsat.math.optimization.Optimizer2
• jsat.parameters.Parameterized
  • jsat.distributions.kernels.KernelTrick (also extends java.lang.Cloneable, java.io.Serializable)
• java.io.Serializable
  • jsat.classifiers.neuralnetwork.activations.ActivationLayer
  • jsat.classifiers.neuralnetwork.initializers.BiastInitializer
  • jsat.classifiers.calibration.BinaryScoreClassifier
  • jsat.classifiers.evaluation.ClassificationScore
  • jsat.classifiers.Classifier (also extends java.lang.Cloneable)
    • jsat.classifiers.calibration.BinaryScoreClassifier
    • jsat.classifiers.UpdateableClassifier
    • jsat.classifiers.WarmClassifier
  • jsat.clustering.Clusterer
    • jsat.clustering.KClusterer
  • jsat.datatransform.DataTransform (also extends java.lang.Cloneable)
    • jsat.datatransform.InPlaceInvertibleTransform (also extends jsat.datatransform.InPlaceTransform, jsat.datatransform.InvertibleTransform)
    • jsat.datatransform.InPlaceTransform
      • jsat.datatransform.InPlaceInvertibleTransform (also extends jsat.datatransform.InvertibleTransform)
    • jsat.datatransform.InvertibleTransform
      • jsat.datatransform.InPlaceInvertibleTransform (also extends jsat.datatransform.InPlaceTransform)
  • jsat.math.decayrates.DecayRate
  • jsat.linear.distancemetrics.DenseSparseMetric
  • jsat.linear.distancemetrics.DistanceMetric (also extends java.lang.Cloneable)
    • jsat.linear.distancemetrics.DenseSparseMetric
  • jsat.math.Function
    • jsat.math.FunctionP
  • jsat.math.FunctionP
  • jsat.math.optimization.stochastic.GradientUpdater
  • jsat.linear.vectorcollection.IncrementalCollection<V>
  • jsat.datatransform.InPlaceInvertibleTransform (also extends jsat.datatransform.InPlaceTransform, jsat.datatransform.InvertibleTransform)
  • jsat.datatransform.InPlaceTransform
    • jsat.datatransform.InPlaceInvertibleTransform (also extends jsat.datatransform.InvertibleTransform)
  • jsat.datatransform.InvertibleTransform
    • jsat.datatransform.InPlaceInvertibleTransform (also extends jsat.datatransform.InPlaceTransform)
  • jsat.clustering.KClusterer
  • jsat.distributions.empirical.kernelfunc.KernelFunction
  • jsat.distributions.kernels.KernelTrick (also extends java.lang.Cloneable, jsat.parameters.Parameterized)
  • jsat.lossfunctions.LossC
    • jsat.lossfunctions.LossMC
  • jsat.lossfunctions.LossFunc
    • jsat.lossfunctions.LossC
      • jsat.lossfunctions.LossMC
    • jsat.lossfunctions.LossMC
    • jsat.lossfunctions.LossR
  • jsat.lossfunctions.LossMC
  • jsat.lossfunctions.LossR
  • jsat.distributions.multivariate.MultivariateDistribution (also extends java.lang.Cloneable)
  • jsat.math.optimization.Optimizer
  • jsat.regression.evaluation.RegressionScore
  • jsat.regression.Regressor (also extends java.lang.Cloneable)
    • jsat.regression.UpdateableRegressor
    • jsat.regression.WarmRegressor
  • jsat.math.rootfinding.RootFinder
  • jsat.text.TextVectorCreator
  • jsat.text.tokenizer.Tokenizer
  • jsat.classifiers.trees.TreeFeatureImportanceInference
  • jsat.classifiers.trees.TreeLearner
  • jsat.classifiers.UpdateableClassifier
  • jsat.regression.UpdateableRegressor
  • jsat.linear.vectorcollection.VectorCollection<V> (also extends java.lang.Cloneable)
    • jsat.linear.vectorcollection.IncrementalCollection<V>
  • jsat.linear.vectorcollection.VectorCollectionFactory<V> (also extends java.lang.Cloneable)
  • jsat.datatransform.visualization.VisualizationTransform (also extends java.lang.Cloneable)
  • jsat.classifiers.WarmClassifier
  • jsat.regression.WarmRegressor
  • jsat.classifiers.neuralnetwork.initializers.WeightInitializer
  • jsat.classifiers.neuralnetwork.regularizers.WeightRegularizer
• jsat.SimpleWeightVectorModel
  • jsat.SingleWeightVectorModel
• jsat.testing.StatisticTest
  • jsat.testing.onesample.OneSampleTest

Annotation Type Hierarchy

• jsat.parameters.Parameter.ParameterHolder (implements java.lang.annotation.Annotation)
• jsat.parameters.Parameter.WarmParameter (implements java.lang.annotation.Annotation)

Enum Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
    • jsat.classifiers.bayesian.NaiveBayes.NumericalHandeling
    • jsat.classifiers.calibration.BinaryCalibration.CalibrationMode
    • jsat.classifiers.linear.StochasticSTLinearL1.Loss
    • jsat.classifiers.linear.StochasticMultinomialLogisticRegression.Prior
    • jsat.classifiers.linear.SCW.Mode
    • jsat.classifiers.linear.PassiveAggressive.Mode
    • jsat.classifiers.linear.NHERD.CovMode
    • jsat.classifiers.linear.BBR.Prior
    • jsat.classifiers.linear.kernelized.CSKLR.UpdateMode
    • jsat.classifiers.neuralnetwork.RBFNet.Phase1Learner
    • jsat.classifiers.neuralnetwork.RBFNet.Phase2Learner
    • jsat.classifiers.neuralnetwork.LVQ.LVQVersion
    • jsat.classifiers.neuralnetwork.BackPropagationNet.WeightInitialization
    • jsat.classifiers.svm.SupportVectorLearner.CacheMode
    • jsat.classifiers.trees.TreePruner.PruningMethod
    • jsat.classifiers.trees.ImpurityScore.ImpurityMeasure
    • jsat.clustering.SeedSelectionMethods.SeedSelection
    • jsat.clustering.OPTICS.ExtractionMethod
    • jsat.datatransform.JLTransform.TransformMode
    • jsat.datatransform.Imputer.NumericImputionMode
    • jsat.datatransform.FastICA.DefaultNegEntropyFunc (implements jsat.datatransform.FastICA.NegEntropyFunc)
    • jsat.datatransform.featureselection.MutualInfoFS.NumericalHandeling
    • jsat.datatransform.kernel.Nystrom.SamplingMethod
    • jsat.distributions.kernels.KernelPoint.BudgetStrategy
    • jsat.io.JSATData.DatasetTypeMarker
    • jsat.io.JSATData.FloatStorageMethod
    • jsat.linear.vectorcollection.VPTree.VPSelection
    • jsat.linear.vectorcollection.KDTree.PivotSelection
    • jsat.math.optimization.WolfeNWLineSearch.AlphaInit
    • jsat.regression.RidgeRegression.SolverMode
    • jsat.testing.StatisticTest.H1
    • jsat.text.wordweighting.TfIdf.TermFrequencyWeight
    • jsat.utils.IntPriorityQueue.Mode