mlpack  2.0.1
mlpack::regression::LogisticRegression< MatType > Member List

This is the complete list of members for mlpack::regression::LogisticRegression< MatType >, including all inherited members.

ComputeAccuracy(const MatType &predictors, const arma::Row< size_t > &responses, const double decisionBoundary=0.5) constmlpack::regression::LogisticRegression< MatType >
ComputeError(const MatType &predictors, const arma::Row< size_t > &responses) constmlpack::regression::LogisticRegression< MatType >
lambdamlpack::regression::LogisticRegression< MatType >private
Lambda() constmlpack::regression::LogisticRegression< MatType >inline
Lambda()mlpack::regression::LogisticRegression< MatType >inline
LogisticRegression(const MatType &predictors, const arma::Row< size_t > &responses, const double lambda=0)mlpack::regression::LogisticRegression< MatType >
LogisticRegression(const MatType &predictors, const arma::Row< size_t > &responses, const arma::vec &initialPoint, const double lambda=0)mlpack::regression::LogisticRegression< MatType >
LogisticRegression(const size_t dimensionality, const double lambda=0)mlpack::regression::LogisticRegression< MatType >
LogisticRegression(OptimizerType< LogisticRegressionFunction< MatType >> &optimizer)mlpack::regression::LogisticRegression< MatType >
parametersmlpack::regression::LogisticRegression< MatType >private
Parameters() constmlpack::regression::LogisticRegression< MatType >inline
Parameters()mlpack::regression::LogisticRegression< MatType >inline
Predict(const MatType &predictors, arma::Row< size_t > &responses, const double decisionBoundary=0.5) constmlpack::regression::LogisticRegression< MatType >
Serialize(Archive &ar, const unsigned int)mlpack::regression::LogisticRegression< MatType >
Train(const MatType &predictors, const arma::Row< size_t > &responses)mlpack::regression::LogisticRegression< MatType >
Train(OptimizerType< LogisticRegressionFunction< MatType >> &optimizer)mlpack::regression::LogisticRegression< MatType >