mlpack
mlpack::regression::SoftmaxRegressionFunction Member List

This is the complete list of members for mlpack::regression::SoftmaxRegressionFunction, including all inherited members.

Evaluate(const arma::mat &parameters) constmlpack::regression::SoftmaxRegressionFunction
Evaluate(const arma::mat &parameters, const size_t start, const size_t batchSize=1) constmlpack::regression::SoftmaxRegressionFunction
FitIntercept() constmlpack::regression::SoftmaxRegressionFunctioninline
GetGroundTruthMatrix(const arma::Row< size_t > &labels, arma::sp_mat &groundTruth)mlpack::regression::SoftmaxRegressionFunction
GetInitialPoint() constmlpack::regression::SoftmaxRegressionFunctioninline
GetProbabilitiesMatrix(const arma::mat &parameters, arma::mat &probabilities, const size_t start, const size_t batchSize) constmlpack::regression::SoftmaxRegressionFunction
Gradient(const arma::mat &parameters, arma::mat &gradient) constmlpack::regression::SoftmaxRegressionFunction
Gradient(const arma::mat &parameters, const size_t start, arma::mat &gradient, const size_t batchSize=1) constmlpack::regression::SoftmaxRegressionFunction
InitializeWeights()mlpack::regression::SoftmaxRegressionFunction
InitializeWeights(const size_t featureSize, const size_t numClasses, const bool fitIntercept=false)mlpack::regression::SoftmaxRegressionFunctionstatic
InitializeWeights(arma::mat &weights, const size_t featureSize, const size_t numClasses, const bool fitIntercept=false)mlpack::regression::SoftmaxRegressionFunctionstatic
Lambda()mlpack::regression::SoftmaxRegressionFunctioninline
Lambda() constmlpack::regression::SoftmaxRegressionFunctioninline
NumClasses() constmlpack::regression::SoftmaxRegressionFunctioninline
NumFeatures() constmlpack::regression::SoftmaxRegressionFunctioninline
NumFunctions() constmlpack::regression::SoftmaxRegressionFunctioninline
PartialGradient(const arma::mat &parameters, size_t j, arma::sp_mat &gradient) constmlpack::regression::SoftmaxRegressionFunction
Shuffle()mlpack::regression::SoftmaxRegressionFunction
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