Stores cross-validation results for a specific set of hyperparameters. More...

#include <cv.h>

Public Attributes
Eigen::MatrixXd	score

std::map< std::string, double >	params
	Map of hyperparameter names to their values for the configuration.

Eigen::ArrayXd	alphas
	Array of regularization parameters used in the regularization path.

Eigen::ArrayXd	mean_scores
	Array of scores averaged across all folds for each alpha value.

Eigen::ArrayXd	std_errors

Detailed Description

Stores cross-validation results for a specific set of hyperparameters.

This struct contains evaluation scores, parameters, and statistics for a single hyperparameter configuration across all cross-validation folds.

Definition at line 29 of file cv.h.

Member Data Documentation

◆ alphas

Eigen::ArrayXd slope::GridResult::alphas

Array of regularization parameters used in the regularization path.

Definition at line 40 of file cv.h.

◆ mean_scores

Eigen::ArrayXd slope::GridResult::mean_scores

Array of scores averaged across all folds for each alpha value.

Definition at line 43 of file cv.h.

◆ params

std::map<std::string, double> slope::GridResult::params

Map of hyperparameter names to their values for the configuration.

Definition at line 37 of file cv.h.

◆ score

Eigen::MatrixXd slope::GridResult::score

Matrix of evaluation scores indexed by (fold, alpha) where each row represents a fold and each column represents an alpha value (regularization weight)

Definition at line 34 of file cv.h.

◆ std_errors

Eigen::ArrayXd slope::GridResult::std_errors

Array of standard errors of the scores across folds for each alpha value, useful for estimating score variability

Definition at line 47 of file cv.h.

The documentation for this struct was generated from the following file:

src/slope/cv.h