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

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

Classify(const VecType &point, const double decisionBoundary=0.5) const	mlpack::regression::LogisticRegression< MatType >
Classify(const MatType &dataset, arma::Row< size_t > &labels, const double decisionBoundary=0.5) const	mlpack::regression::LogisticRegression< MatType >
Classify(const MatType &dataset, arma::mat &probabilities) const	mlpack::regression::LogisticRegression< MatType >
ComputeAccuracy(const MatType &predictors, const arma::Row< size_t > &responses, const double decisionBoundary=0.5) const	mlpack::regression::LogisticRegression< MatType >
ComputeError(const MatType &predictors, const arma::Row< size_t > &responses) const	mlpack::regression::LogisticRegression< MatType >
lambda	mlpack::regression::LogisticRegression< MatType >	private
Lambda() const	mlpack::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=0, const double lambda=0)	mlpack::regression::LogisticRegression< MatType >
LogisticRegression(OptimizerType< LogisticRegressionFunction< MatType >> &optimizer)	mlpack::regression::LogisticRegression< MatType >
parameters	mlpack::regression::LogisticRegression< MatType >	private
Parameters() const	mlpack::regression::LogisticRegression< MatType >	inline
Parameters()	mlpack::regression::LogisticRegression< MatType >	inline
Predict(const MatType &predictors, arma::Row< size_t > &responses, const double decisionBoundary=0.5) const	mlpack::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 >