NNFS::Metrics Class Reference

Metrics class. More...

#include <Metrics.hpp>

Static Public Member Functions
static void	accuracy (double &accuracy, const Eigen::MatrixXd &predicted, const Eigen::MatrixXd &labels)
	Calculates the accuracy of the model.
static void	onehotdecode (Eigen::VectorXi &decoded, const Eigen::MatrixXd &onehot)
	Decodes one-hot encoded data.

Detailed Description

Metrics class.

This class implements the metrics used to evaluate the performance of the model.

Member Function Documentation

accuracy()

static void NNFS::Metrics::accuracy ( double &  accuracy, const Eigen::MatrixXd &  predicted, const Eigen::MatrixXd &  labels  )

inlinestatic

Calculates the accuracy of the model.

Parameters

[out]	accuracy	The accuracy of the model.
[in]	predicted	The predicted data.
[in]	labels	The labels.

onehotdecode()

static void NNFS::Metrics::onehotdecode ( Eigen::VectorXi &  decoded, const Eigen::MatrixXd &  onehot  )

inlinestatic

Decodes one-hot encoded data.

Parameters

[out]	decoded	The decoded data.
[in]	onehot	The one-hot encoded data.

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

• include/NNFS/Metrics/Metrics.hpp