metrics.h File Reference

#include "../data/data.h"
#include "../util/utils.h"

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Namespaces
namespace	Brush
	< nsga2 selection operator for getting the front
namespace	Eval
	Namespace containing scoring functions for evaluation metrics.
namespace	Brush::Eval

Functions
float	Brush::Eval::mse (const VectorXf &y, const VectorXf &yhat, VectorXf &loss, const vector< float > &class_weights)
	mean squared error
VectorXf	Brush::Eval::log_loss (const VectorXf &y, const VectorXf &predict_proba, const vector< float > &class_weights=vector< float >())
	Calculates the log loss between the predicted probabilities and the true labels.
float	Brush::Eval::mean_log_loss (const VectorXf &y, const VectorXf &predict_proba, VectorXf &loss, const vector< float > &class_weights)
	log loss
float	Brush::Eval::average_precision_score (const VectorXf &y, const VectorXf &predict_proba, VectorXf &loss, const vector< float > &class_weights=vector< float >())
	Calculates the average precision score between the predicted probabilities and the true labels.
float	Brush::Eval::zero_one_loss (const VectorXf &y, const VectorXf &predict_proba, VectorXf &loss, const vector< float > &class_weights=vector< float >())
	Accuracy for binary classification.
float	Brush::Eval::bal_zero_one_loss (const VectorXf &y, const VectorXf &predict_proba, VectorXf &loss, const vector< float > &class_weights=vector< float >())
	Balanced accuracy for binary classification.
VectorXf	Brush::Eval::multi_log_loss (const VectorXf &y, const ArrayXXf &predict_proba, const vector< float > &class_weights=vector< float >())
	Calculates the multinomial log loss between the predicted probabilities and the true labels.
float	Brush::Eval::mean_multi_log_loss (const VectorXf &y, const ArrayXXf &predict_proba, VectorXf &loss, const vector< float > &class_weights=vector< float >())
	Calculates the mean multinomial log loss between the predicted probabilities and the true labels.
float	Brush::Eval::multi_zero_one_loss (const VectorXf &y, const ArrayXXf &predict_proba, VectorXf &loss, const vector< float > &class_weights=vector< float >())
	Accuracy for multi-classification.