reservoirpy.observables.rsquare#
- reservoirpy.observables.rsquare(y_true, y_pred)[source]#
Coefficient of determination \(R^2\):
\[1 - \frac{\sum^{N-1}_{i=0} (y - \hat{y})^2} {\sum^{N-1}_{i=0} (y - \bar{y})^2}\]where \(\bar{y}\) is the mean value of ground truth.
- Parameters:
y_true (array-like of shape (N, features)) – Ground truth values.
y_pred (array-like of shape (N, features)) – Predicted values.
- Returns:
Coefficient of determination.
- Return type: