ppforest2::stats::RegressionMetrics Struct Reference

Regression evaluation metrics. More...

#include <Metrics.hpp>

Public Types
using	Maybe = std::optional<RegressionMetrics>

Public Member Functions
	RegressionMetrics ()=default
	RegressionMetrics (types::OutcomeVector const &predictions, types::OutcomeVector const &actual)
	Compute metrics from predictions and actual values.

Public Attributes
double	mae = 0.0
	Mean absolute error.
double	mse = 0.0
	Mean squared error.
double	r_squared = 0.0
	Coefficient of determination (R²).

Detailed Description

Regression evaluation metrics.

Computes MSE, MAE, and R² from predictions and actual values.

RegressionMetrics metrics(predictions, actual);
double mse = metrics.mse;
double r2  = metrics.r_squared;

Member Typedef Documentation

Maybe

using ppforest2::stats::RegressionMetrics::Maybe = std::optional<RegressionMetrics>

Constructor & Destructor Documentation

RegressionMetrics() [1/2]

ppforest2::stats::RegressionMetrics::RegressionMetrics ( )

default

RegressionMetrics() [2/2]

ppforest2::stats::RegressionMetrics::RegressionMetrics	(	types::OutcomeVector const &	predictions,
		types::OutcomeVector const &	actual )

Compute metrics from predictions and actual values.

Exceptions

std::invalid_argument

If sizes differ or vectors are empty.

Member Data Documentation

mae

double ppforest2::stats::RegressionMetrics::mae = 0.0

Mean absolute error.

mse

double ppforest2::stats::RegressionMetrics::mse = 0.0

Mean squared error.

r_squared

double ppforest2::stats::RegressionMetrics::r_squared = 0.0

Coefficient of determination (R²).

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

• core/src/stats/Metrics.hpp