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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.
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