Note

This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the What you really need to know section for the big picture.

julearn.scoring.metrics.r2_corr

julearn.scoring.metrics.r2_corr(y_true, y_pred)

Compute squared Pearson product-moment correlation coefficient.

Parameters:

y_trueArrayLike

The true values.

y_predArrayLike

The predicted values.

Returns:

float

The squared Pearson product-moment correlation coefficient.