opennn::TestingAnalysis::GoodnessOfFitAnalysis Struct Reference

Per-output regression goodness-of-fit summary. More...

#include <testing_analysis.h>

Public Member Functions
void	set (const VectorR &targets, const VectorR &outputs, float determination)
	Populates the struct from raw vectors and a precomputed R^2.
void	save (const filesystem::path &file_name) const
	Saves the struct to a CSV file.
void	print () const
	Prints the struct to standard output.

Public Attributes
float	determination = 0.0f
	Coefficient of determination (R^2) for this output.
VectorR	targets
	Target values for the testing samples.
VectorR	outputs
	Network outputs for the testing samples.

Detailed Description

Per-output regression goodness-of-fit summary.

Captures the coefficient of determination together with the raw target/output vectors used to compute it.

Member Function Documentation

print()

void opennn::TestingAnalysis::GoodnessOfFitAnalysis::print

(

)

const

Prints the struct to standard output.

save()

void opennn::TestingAnalysis::GoodnessOfFitAnalysis::save

(

const filesystem::path &

file_name

)

const

Saves the struct to a CSV file.

Parameters

file_name

Destination path.

set()

void opennn::TestingAnalysis::GoodnessOfFitAnalysis::set	(	const VectorR &	targets,
		const VectorR &	outputs,
		float	determination )

Populates the struct from raw vectors and a precomputed R^2.

Parameters

targets	Target values.
outputs	Network outputs.
determination	R^2 between targets and outputs.

Member Data Documentation

determination

float opennn::TestingAnalysis::GoodnessOfFitAnalysis::determination = 0.0f

Coefficient of determination (R^2) for this output.

outputs

VectorR opennn::TestingAnalysis::GoodnessOfFitAnalysis::outputs

Network outputs for the testing samples.

targets

VectorR opennn::TestingAnalysis::GoodnessOfFitAnalysis::targets

Target values for the testing samples.