Hierarchy For All Packages
Package Hierarchies:Class Hierarchy
- java.lang.Object
- se.hb.jcp.cp.measures.AbstractPriorMultiProbabilisticMeasure (implements se.hb.jcp.cp.measures.IPriorMultiProbabilisticMeasure)
- se.hb.jcp.cp.measures.MultiProbabilisticLowerBound
- se.hb.jcp.cp.measures.MultiProbabilisticUpperBound
- se.hb.jcp.cp.measures.AbstractSignificanceBasedMeasure (implements se.hb.jcp.cp.measures.IMeasure)
- se.hb.jcp.cp.measures.ExcessCriterion (implements se.hb.jcp.cp.measures.IPriorMeasure)
- se.hb.jcp.cp.measures.MultipleCriterion (implements se.hb.jcp.cp.measures.IPriorMeasure)
- se.hb.jcp.cp.measures.NumberCriterion (implements se.hb.jcp.cp.measures.IPriorMeasure)
- se.hb.jcp.cp.measures.ObservedAccuracy (implements se.hb.jcp.cp.measures.IObservedMeasure)
- se.hb.jcp.cp.measures.ObservedExcessCriterion (implements se.hb.jcp.cp.measures.IObservedMeasure)
- se.hb.jcp.cp.measures.ObservedMultipleCriterion (implements se.hb.jcp.cp.measures.IObservedMeasure)
- se.hb.jcp.cp.measures.ObservedOneCCriterion (implements se.hb.jcp.cp.measures.IObservedMeasure)
- se.hb.jcp.cp.measures.OneCCriterion (implements se.hb.jcp.cp.measures.IPriorMeasure)
- se.hb.jcp.cp.measures.AggregatedObservedMeasure
- se.hb.jcp.cp.measures.AggregatedObservedMeasures
- se.hb.jcp.cp.measures.AggregatedPriorMeasure
- se.hb.jcp.cp.measures.AggregatedPriorMeasures
- se.hb.jcp.nc.AverageClassificationNonconformityFunction (implements se.hb.jcp.nc.IClassificationNonconformityFunction, java.io.Serializable)
- se.hb.jcp.cli.CCTools
- se.hb.jcp.nc.ClassificationNonconformityFunctionFactory
- se.hb.jcp.ml.ClassifierBase (implements se.hb.jcp.ml.IClassifier, java.io.Serializable)
- se.hb.jcp.ml.BogusClassProbabilityClassifier (implements se.hb.jcp.ml.IClassProbabilityClassifier)
- se.hb.jcp.bindings.opencv.ExtremelyRandomizedTreesClassifier (implements java.io.Serializable)
- se.hb.jcp.bindings.jliblinear.LinearClassifier (implements se.hb.jcp.ml.IClassProbabilityClassifier, java.io.Serializable)
- se.hb.jcp.bindings.opencv.RandomForestClassifier (implements java.io.Serializable)
- se.hb.jcp.bindings.jlibsvm.SVMClassifier (implements se.hb.jcp.ml.IClassProbabilityClassifier, se.hb.jcp.ml.ISVMClassifier, java.io.Serializable)
- se.hb.jcp.bindings.libsvm.SVMClassifier (implements se.hb.jcp.ml.IClassProbabilityClassifier, se.hb.jcp.ml.ISVMClassifier, java.io.Serializable)
- se.hb.jcp.bindings.opencv.SVMClassifier (implements java.io.Serializable)
- se.hb.jcp.ml.ClassifierFactory
- se.hb.jcp.nc.ClassifierNonconformityFunctionBase (implements se.hb.jcp.nc.IClassificationNonconformityFunction, java.io.Serializable)
- se.hb.jcp.nc.ClassProbabilityNonconformityFunctionBase (implements java.io.Serializable)
- se.hb.jcp.nc.HingeLossNonconformityFunction (implements java.io.Serializable)
- se.hb.jcp.nc.MarginNonconformityFunction (implements java.io.Serializable)
- se.hb.jcp.nc.kNearestSameClassNeighbourNonconformityFunction (implements java.io.Serializable)
- se.hb.jcp.nc.SVMDistanceNonconformityFunction (implements java.io.Serializable)
- se.hb.jcp.nc.ClassProbabilityNonconformityFunctionBase (implements java.io.Serializable)
- se.hb.jcp.cp.ConformalClassification
- se.hb.jcp.cp.ConformalMultiProbabilisticClassification
- se.hb.jcp.cp.ConformalMultiProbabilisticClassifier (implements se.hb.jcp.cp.IConformalClassifier, java.io.Serializable)
- se.hb.jcp.cp.DataSet
- se.hb.jcp.io.DataSetReader
- se.hb.jcp.io.libsvmReader
- se.hb.jcp.cli.DataSetTools
- se.hb.jcp.util.FIFOParallelExecutor<E>
- java.util.concurrent.ForkJoinTask<V> (implements java.util.concurrent.Future<V>, java.io.Serializable)
- java.util.concurrent.RecursiveAction
- se.hb.jcp.util.ParallelizedAction
- java.util.concurrent.RecursiveAction
- se.hb.jcp.cp.measures.FuzzinessCriterion (implements se.hb.jcp.cp.measures.IPriorMeasure)
- se.hb.jcp.cp.InductiveConformalClassifier (implements se.hb.jcp.cp.IConformalClassifier, java.io.Serializable)
- se.hb.jcp.cp.InductiveConformalRegressor
- se.hb.jcp.cli.IOTools
- se.hb.jcp.cli.jcp_cat
- se.hb.jcp.cli.jcp_predict
- se.hb.jcp.cli.jcp_predict_filter
- se.hb.jcp.cli.jcp_train
- se.hb.jcp.cp.measures.ObservedFuzzinessCriterion (implements se.hb.jcp.cp.measures.IObservedMeasure)
- se.hb.jcp.cp.measures.ObservedProbabilityLogLoss (implements se.hb.jcp.cp.measures.IObservedProbabilisticMeasure)
- se.hb.jcp.cp.measures.ObservedProbabilitySquareLoss (implements se.hb.jcp.cp.measures.IObservedProbabilisticMeasure)
- se.hb.jcp.cp.measures.ObservedUnconfidenceCriterion (implements se.hb.jcp.cp.measures.IObservedMeasure)
- cern.colt.PersistentObject (implements java.lang.Cloneable, java.io.Serializable)
- cern.colt.matrix.impl.AbstractMatrix
- cern.colt.matrix.impl.AbstractMatrix1D
- cern.colt.matrix.DoubleMatrix1D
- se.hb.jcp.bindings.opencv.DenseDoubleMatrix1D
- se.hb.jcp.bindings.jliblinear.SparseDoubleMatrix1D
- se.hb.jcp.bindings.jlibsvm.SparseDoubleMatrix1D
- se.hb.jcp.bindings.libsvm.SparseDoubleMatrix1D
- cern.colt.matrix.DoubleMatrix1D
- cern.colt.matrix.impl.AbstractMatrix2D
- cern.colt.matrix.DoubleMatrix2D
- se.hb.jcp.bindings.opencv.DenseDoubleMatrix2D
- se.hb.jcp.bindings.jliblinear.SparseDoubleMatrix2D
- se.hb.jcp.bindings.jlibsvm.SparseDoubleMatrix2D
- se.hb.jcp.bindings.libsvm.SparseDoubleMatrix2D
- cern.colt.matrix.DoubleMatrix2D
- cern.colt.matrix.impl.AbstractMatrix1D
- cern.colt.matrix.impl.AbstractMatrix
- se.hb.jcp.util.RealIndexedMatrix2D<V> (implements java.io.Serializable)
- se.hb.jcp.cp.measures.SumCriterion (implements se.hb.jcp.cp.measures.IPriorMeasure)
- se.hb.jcp.bindings.libsvm.svm
- se.hb.jcp.bindings.libsvm.svm_model (implements java.io.Serializable)
- se.hb.jcp.bindings.libsvm.svm_node (implements java.io.Serializable)
- se.hb.jcp.bindings.libsvm.svm_parameter (implements java.lang.Cloneable, java.io.Serializable)
- se.hb.jcp.bindings.libsvm.svm_problem
- se.hb.jcp.cp.TransductiveConformalClassifier (implements se.hb.jcp.cp.IConformalClassifier, java.io.Serializable)
- se.hb.jcp.cp.TransductiveConformalRegressor
- se.hb.jcp.cp.measures.UnconfidenceCriterion (implements se.hb.jcp.cp.measures.IPriorMeasure)
- se.hb.jcp.cp.Util
- se.hb.jcp.cp.measures.AbstractPriorMultiProbabilisticMeasure (implements se.hb.jcp.cp.measures.IPriorMultiProbabilisticMeasure)
Interface Hierarchy
- se.hb.jcp.cp.measures.IMeasure
- se.hb.jcp.cp.measures.IObservedMeasure
- se.hb.jcp.cp.measures.IObservedProbabilisticMeasure
- se.hb.jcp.cp.measures.IPriorMeasure
- se.hb.jcp.cp.measures.IPriorMultiProbabilisticMeasure
- se.hb.jcp.cp.measures.IObservedMeasure
- se.hb.jcp.nc.IRegressionNonconformityFunction
- java.io.Serializable
- se.hb.jcp.nc.IClassificationNonconformityFunction (also extends se.hb.jcp.ml.IClassifierInformation)
- se.hb.jcp.ml.IClassifier (also extends se.hb.jcp.ml.IClassifierInformation)
- se.hb.jcp.ml.IClassProbabilityClassifier (also extends java.io.Serializable)
- se.hb.jcp.ml.ISVMClassifier
- se.hb.jcp.ml.IClassifierInformation
- se.hb.jcp.nc.IClassificationNonconformityFunction (also extends java.io.Serializable)
- se.hb.jcp.ml.IClassifier (also extends java.io.Serializable)
- se.hb.jcp.ml.IClassProbabilityClassifier (also extends java.io.Serializable)
- se.hb.jcp.ml.ISVMClassifier
- se.hb.jcp.cp.IConformalClassifier (also extends java.io.Serializable)
- se.hb.jcp.ml.IClassProbabilityClassifier (also extends se.hb.jcp.ml.IClassifier)
- se.hb.jcp.cp.IConformalClassifier (also extends se.hb.jcp.ml.IClassifierInformation)
- se.hb.jcp.bindings.libsvm.svm_print_interface