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G

GeneralizedDoubleLinear - Class in fr.lip6.kernel.typed
 
GeneralizedDoubleLinear(double[][]) - Constructor for class fr.lip6.kernel.typed.GeneralizedDoubleLinear
 
GeneralizedSparseDoubleLinear - Class in fr.lip6.kernel.extra.colt
 
GeneralizedSparseDoubleLinear(SparseDoubleMatrix2D) - Constructor for class fr.lip6.kernel.extra.colt.GeneralizedSparseDoubleLinear
 
getAlphas() - Method in class fr.lip6.classifier.EnhancedSMOSVM
 
getAlphas() - Method in class fr.lip6.classifier.PegasosSVM
returns the list of weights associated with the support vectors
getAlphas() - Method in class fr.lip6.classifier.SMOSVM
returns support vectors weights
getAlphas() - Method in class fr.lip6.density.SMODensity
get the weights of each support vector
getB() - Method in class fr.lip6.classifier.DoublePegasosSVM
 
getB() - Method in class fr.lip6.classifier.SMOSVM
returns bias
getGamma() - Method in class fr.lip6.kernel.extra.colt.SparseDoubleGaussChi2
 
getGamma() - Method in class fr.lip6.kernel.typed.DoubleGaussChi1
 
getGamma() - Method in class fr.lip6.kernel.typed.DoubleGaussChi2
 
getGamma() - Method in class fr.lip6.kernel.typed.DoubleGaussL2
 
getGamma() - Method in class fr.lip6.kernel.typed.FloatGaussChi2
 
getGamma() - Method in class fr.lip6.kernel.typed.IntGaussChi1
 
getGamma() - Method in class fr.lip6.kernel.typed.IntGaussChi2
 
getGamma() - Method in class fr.lip6.kernel.typed.IntGaussL2
 
getGamma() - Method in class fr.lip6.kernel.typed.SPDoubleGaussChi2
 
getK() - Method in class fr.lip6.classifier.DoublePegasosSVM
 
getK() - Method in class fr.lip6.classifier.PegasosSVM
 
getKernelMatrix(ArrayList<TrainingSample<T>>) - Method in class fr.lip6.kernel.adaptative.ThreadedSumKernel
 
getKernelMatrix(ArrayList<TrainingSample<T>>) - Method in class fr.lip6.kernel.adaptative.WeightedSumKernel
 
getKernelMatrix(ArrayList<TrainingSample<T>>) - Method in class fr.lip6.kernel.CMKernel
 
getKernelMatrix(ArrayList<TrainingSample<T>>) - Method in class fr.lip6.kernel.Kernel
return the Gram Matrix of this kernel computed on given samples
getKernelMatrix(ArrayList<TrainingSample<T>>) - Method in class fr.lip6.kernel.ThreadedKernel
 
getKernelWeights() - Method in class fr.lip6.classifier.SimpleMKL
 
getLambda() - Method in class fr.lip6.classifier.DoublePegasosSVM
 
getLambda() - Method in class fr.lip6.classifier.PegasosSVM
 
getNormalizedKernelMatrix(ArrayList<TrainingSample<T>>) - Method in class fr.lip6.kernel.Kernel
return the Gram Matrix of this kernel computed on given samples
getT() - Method in class fr.lip6.classifier.DoublePegasosSVM
 
getT() - Method in class fr.lip6.classifier.PegasosSVM
 
getTrainingSet() - Method in class fr.lip6.classifier.SMOSVM
the ArrayList of TrainingSample used for training
getTrainingWeights() - Method in class fr.lip6.classifier.SimpleMKL
 
getW() - Method in class fr.lip6.classifier.DoublePegasosSVM
 
getWeight(Kernel<T>) - Method in class fr.lip6.kernel.adaptative.ThreadedSumKernel
gets the weights of kernel k
getWeight(Kernel<T>) - Method in class fr.lip6.kernel.adaptative.WeightedSumKernel
gets the weights of kernel k
getWeights() - Method in class fr.lip6.kernel.adaptative.ThreadedSumKernel
get the list of kernels and associated weights.
getWeights() - Method in class fr.lip6.kernel.adaptative.WeightedSumKernel
get the list of kernels and associated weights.

A C D E F G I K L M N P R S T V W