metrics.cpp File Reference

#include "metrics.h"

Include dependency graph for metrics.cpp:

Go to the source code of this file.

Namespaces
namespace	Brush
	< nsga2 selection operator for getting the front
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.
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.