| 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, 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 > | |
