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

T

takeStep(int, int, double) - Method in class fr.lip6.classifier.EnhancedSMOSVM

Method solving for the Lagrange multipliers for two instances.

TestSimpleSVM - Class in fr.lip6.test

TestSimpleSVM() - Constructor for class fr.lip6.test.TestSimpleSVM

ThreadedKernel<T> - Class in fr.lip6.kernel

Simple multithreaded implementation over a given Kernel.

ThreadedKernel(Kernel<T>) - Constructor for class fr.lip6.kernel.ThreadedKernel

MultiThread the given kernel

ThreadedSumKernel<T> - Class in fr.lip6.kernel.adaptative

Major kernel computed as a weighted sum of minor kernels : K = w_i * k_i
Computation of the kernel matrix is done by running a thread on sub matrices.

ThreadedSumKernel() - Constructor for class fr.lip6.kernel.adaptative.ThreadedSumKernel

ThreadedSumKernel(Hashtable<Kernel<T>, Double>) - Constructor for class fr.lip6.kernel.adaptative.ThreadedSumKernel

Sets the weights to h.

toString() - Method in class fr.lip6.kernel.Kernel

train(TrainingSample<T>) - Method in interface fr.lip6.classifier.Classifier

Add a single example to the current training set and train the classifier

train(ArrayList<TrainingSample<T>>) - Method in interface fr.lip6.classifier.Classifier

Replace the current training and train the classifier

train(ArrayList<TrainingSample<double[]>>) - Method in class fr.lip6.classifier.DoublePegasosSVM

train(TrainingSample<double[]>) - Method in class fr.lip6.classifier.DoublePegasosSVM

train(TrainingSample<T>) - Method in class fr.lip6.classifier.EnhancedSMOSVM

train(ArrayList<TrainingSample<T>>) - Method in class fr.lip6.classifier.EnhancedSMOSVM

train(TrainingSample<T>) - Method in class fr.lip6.classifier.ParzenClassifier

train(ArrayList<TrainingSample<T>>) - Method in class fr.lip6.classifier.ParzenClassifier

train(ArrayList<TrainingSample<T>>) - Method in class fr.lip6.classifier.PegasosSVM

train(TrainingSample<T>) - Method in class fr.lip6.classifier.PegasosSVM

train(TrainingSample<T>) - Method in class fr.lip6.classifier.SimpleMKL

train(ArrayList<TrainingSample<T>>) - Method in class fr.lip6.classifier.SimpleMKL

optimisation des poids d'après l'algorithme SimpleMKL d'Alain Rakotomamonjy

train(TrainingSample<T>) - Method in class fr.lip6.classifier.SMOSVM

train(ArrayList<TrainingSample<T>>) - Method in class fr.lip6.classifier.SMOSVM

train(T) - Method in interface fr.lip6.density.DensityFunction

ajoute un exemple à l'ensemble d'apprentissage et ré-entraîne l'estimateur.

train(ArrayList<T>) - Method in interface fr.lip6.density.DensityFunction

Entraîne l'estimateur de densité sur l'ensemble d'apprentissage fourni en argument.

train(T) - Method in class fr.lip6.density.ParzenDensity

train(ArrayList<T>) - Method in class fr.lip6.density.ParzenDensity

train(T) - Method in class fr.lip6.density.SMODensity

train(ArrayList<T>) - Method in class fr.lip6.density.SMODensity

TrainingSample<T> - Class in fr.lip6.type

Simple class of training sample that contains the generic of sample and the associated label.

TrainingSample(T, int) - Constructor for class fr.lip6.type.TrainingSample