reservoirpy.observables.rmse

reservoirpy.observables.rmse(y_true, y_pred)

Root mean squared error metric:

\[\sqrt{\frac{\sum_{i=0}^{N-1} (y_i - \hat{y}_i)^2}{N}}\]

Parameters:

• y_true (array-like of shape (N, features)) – Ground truth values.

• y_pred (array-like of shape (N, features)) – Predicted values.

Returns:

Root mean squared error.

Return type:

float