Uses of Interface
se.hb.jcp.ml.IClassifier
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Packages that use IClassifier Package Description se.hb.jcp.bindings.jliblinear se.hb.jcp.bindings.jlibsvm se.hb.jcp.bindings.libsvm se.hb.jcp.bindings.opencv se.hb.jcp.ml se.hb.jcp.nc -
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Uses of IClassifier in se.hb.jcp.bindings.jliblinear
Classes in se.hb.jcp.bindings.jliblinear that implement IClassifier Modifier and Type Class Description classLinearClassifierMethods in se.hb.jcp.bindings.jliblinear that return IClassifier Modifier and Type Method Description IClassifierLinearClassifier. fitNew(cern.colt.matrix.DoubleMatrix2D x, double[] y) -
Uses of IClassifier in se.hb.jcp.bindings.jlibsvm
Classes in se.hb.jcp.bindings.jlibsvm that implement IClassifier Modifier and Type Class Description classSVMClassifierMethods in se.hb.jcp.bindings.jlibsvm that return IClassifier Modifier and Type Method Description IClassifierSVMClassifier. fitNew(cern.colt.matrix.DoubleMatrix2D x, double[] y) -
Uses of IClassifier in se.hb.jcp.bindings.libsvm
Classes in se.hb.jcp.bindings.libsvm that implement IClassifier Modifier and Type Class Description classSVMClassifierMethods in se.hb.jcp.bindings.libsvm that return IClassifier Modifier and Type Method Description IClassifierSVMClassifier. fitNew(cern.colt.matrix.DoubleMatrix2D x, double[] y) -
Uses of IClassifier in se.hb.jcp.bindings.opencv
Classes in se.hb.jcp.bindings.opencv that implement IClassifier Modifier and Type Class Description classExtremelyRandomizedTreesClassifierclassRandomForestClassifierclassSVMClassifierMethods in se.hb.jcp.bindings.opencv that return IClassifier Modifier and Type Method Description IClassifierExtremelyRandomizedTreesClassifier. fitNew(cern.colt.matrix.DoubleMatrix2D x, double[] y)IClassifierRandomForestClassifier. fitNew(cern.colt.matrix.DoubleMatrix2D x, double[] y)IClassifierSVMClassifier. fitNew(cern.colt.matrix.DoubleMatrix2D x, double[] y) -
Uses of IClassifier in se.hb.jcp.ml
Subinterfaces of IClassifier in se.hb.jcp.ml Modifier and Type Interface Description interfaceIClassProbabilityClassifierRepresents an instance of a specific machine learning classification algorithm.interfaceISVMClassifierSpecifies an interface for SVM classifiers giving access to internal SVM specific information.Classes in se.hb.jcp.ml that implement IClassifier Modifier and Type Class Description classBogusClassProbabilityClassifierAdds a bogus class probability estimate to the underlying machine learning classification algorithm.classClassifierBaseBase class for classifiers that provide implementations of some of the generic IClassifierInformation methods.Methods in se.hb.jcp.ml that return IClassifier Modifier and Type Method Description IClassifierClassifierFactory. createClassifier(int type)IClassifierClassifierFactory. createClassifier(int type, org.json.JSONObject config)IClassifierBogusClassProbabilityClassifier. fitNew(cern.colt.matrix.DoubleMatrix2D x, double[] y)Trains and returns a copy of this classifier using the supplied data.IClassifierIClassifier. fitNew(cern.colt.matrix.DoubleMatrix2D x, double[] y)Trains and returns a copy of this classifier using the supplied data.Constructors in se.hb.jcp.ml with parameters of type IClassifier Constructor Description BogusClassProbabilityClassifier(IClassifier classifier, double[] classes) -
Uses of IClassifier in se.hb.jcp.nc
Methods in se.hb.jcp.nc that return IClassifier Modifier and Type Method Description IClassifierAverageClassificationNonconformityFunction. getClassifier()IClassifierClassifierNonconformityFunctionBase. getClassifier()IClassifierIClassificationNonconformityFunction. getClassifier()Returns the classifier used by this non-conformity function.Methods in se.hb.jcp.nc with parameters of type IClassifier Modifier and Type Method Description IClassificationNonconformityFunctionClassificationNonconformityFunctionFactory. createNonconformityFunction(int type, double[] classes, IClassifier classifier)Constructors in se.hb.jcp.nc with parameters of type IClassifier Constructor Description ClassifierNonconformityFunctionBase(double[] classes, IClassifier classifier)kNearestSameClassNeighbourNonconformityFunction(double[] classes, int k, IClassifier classifier)
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