data | mlpack::regression::SoftmaxRegressionFunction | private |
Evaluate(const arma::mat ¶meters) const | mlpack::regression::SoftmaxRegressionFunction | |
FeatureSize() const | mlpack::regression::SoftmaxRegressionFunction | inline |
FitIntercept() const | mlpack::regression::SoftmaxRegressionFunction | inline |
fitIntercept | mlpack::regression::SoftmaxRegressionFunction | private |
GetGroundTruthMatrix(const arma::Row< size_t > &labels, arma::sp_mat &groundTruth) | mlpack::regression::SoftmaxRegressionFunction | |
GetInitialPoint() const | mlpack::regression::SoftmaxRegressionFunction | inline |
GetProbabilitiesMatrix(const arma::mat ¶meters, arma::mat &probabilities) const | mlpack::regression::SoftmaxRegressionFunction | |
Gradient(const arma::mat ¶meters, arma::mat &gradient) const | mlpack::regression::SoftmaxRegressionFunction | |
groundTruth | mlpack::regression::SoftmaxRegressionFunction | private |
InitializeWeights() | mlpack::regression::SoftmaxRegressionFunction | |
InitializeWeights(const size_t featureSize, const size_t numClasses, const bool fitIntercept=false) | mlpack::regression::SoftmaxRegressionFunction | static |
InitializeWeights(arma::mat &weights, const size_t featureSize, const size_t numClasses, const bool fitIntercept=false) | mlpack::regression::SoftmaxRegressionFunction | static |
initialPoint | mlpack::regression::SoftmaxRegressionFunction | private |
Lambda() | mlpack::regression::SoftmaxRegressionFunction | inline |
Lambda() const | mlpack::regression::SoftmaxRegressionFunction | inline |
lambda | mlpack::regression::SoftmaxRegressionFunction | private |
NumClasses() const | mlpack::regression::SoftmaxRegressionFunction | inline |
numClasses | mlpack::regression::SoftmaxRegressionFunction | private |
SoftmaxRegressionFunction(const arma::mat &data, const arma::Row< size_t > &labels, const size_t numClasses, const double lambda=0.0001, const bool fitIntercept=false) | mlpack::regression::SoftmaxRegressionFunction | |