Scorer.cpp File Reference

#include "lucid/model/Scorer.h"
#include "lucid/util/error.h"

Namespaces
namespace	lucid
	Root namespace for the lucid library.
namespace	lucid::scorer
	Collection of utilities used to score the accuracy of estimators.

Functions
double	lucid::scorer::r2_score (ConstMatrixRef x, ConstMatrixRef y)
	Score the closeness between x and y assigning it a numerical value.
double	lucid::scorer::r2_score (const Estimator &estimator, ConstMatrixRef evaluation_inputs, ConstMatrixRef evaluation_outputs)
	Score the estimator assigning a numerical value to its accuracy in predicting the evaluation_outputs given the evaluation_inputs.
double	lucid::scorer::mse_score (ConstMatrixRef x, ConstMatrixRef y)
	Compute the mean squared error (MSE) between x and y.
double	lucid::scorer::mse_score (const Estimator &estimator, ConstMatrixRef evaluation_inputs, ConstMatrixRef evaluation_outputs)
	Compute the mean squared error (MSE) score of the estimator on the given evaluation data.
double	lucid::scorer::rmse_score (ConstMatrixRef x, ConstMatrixRef y)
	Compute the root mean squared error (RMSE) score of the closeness between x and y.
double	lucid::scorer::rmse_score (const Estimator &estimator, ConstMatrixRef evaluation_inputs, ConstMatrixRef evaluation_outputs)
	Compute the root mean squared error (RMSE) score of the estimator on the given evaluation data.
double	lucid::scorer::mape_score (ConstMatrixRef x, ConstMatrixRef y)
	Compute the mean absolute percentage error (MAPE) score of the closeness between x and y.
double	lucid::scorer::mape_score (const Estimator &estimator, ConstMatrixRef evaluation_inputs, ConstMatrixRef evaluation_outputs)
	Compute the mean absolute percentage error (MAPE) score of the estimator on the given evaluation data.

Detailed Description

Author

Room 6.030

Copyright

2025 lucid

Licence:

BSD 3-Clause License