Class representing the Binary Cross Entropy. More...

#include <loss.h>

Inheritance diagram for BinaryCrossEntropy:

Public Member Functions
sTensor	calculateLoss (const sTensor &targets, const sTensor &predictions) override

std::string	getShortName () const override
	Short string identifier of the metric. More...

Public Member Functions inherited from Loss
	Loss ()
	Constructor for the Loss class. More...

float	calculateMetric (const sTensor &targets, const sTensor &predictions) override
	Defines the method inherited from abstract Metric parent. More...

Public Member Functions inherited from Metric
	Metric ()
	Constructor for the Metric class. More...

void	reset ()
	Reset the metric, i.e.: set `numSamples` and `currentTotalMetric` to 0.

Additional Inherited Members
Protected Attributes inherited from Metric
size_t	numSamples
	The number of samples processed so far.

float	currentTotalMetric
	The current total value of the metric.

Detailed Description

Class representing the Binary Cross Entropy.

This loss expects the targets to be of shape (n, 1) with labels 0 or 1.

Member Function Documentation

std::string BinaryCrossEntropy::getShortName ( ) const

overridevirtual

Short string identifier of the metric.

Used when printing the value of the metric to the terminal.

Implements Metric.

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