boa.metrics.metric_funcs.normalized_root_mean_squared_error#

boa.metrics.metric_funcs.normalized_root_mean_squared_error(y_true, y_pred, normalizer='iqr', **kwargs)#

Normalized root mean squared error

Parameters:

  • y_true (array-like of shape (n_samples,) or (n_samples, n_outputs)) – Ground truth (correct) target values.

  • y_pred (array-like of shape (n_samples,) or (n_samples, n_outputs)) – Estimated target values.

  • normalizer (str) – How to normalize the RMSE, options include iqr, std, mean, and range. (default iqr)

  • **kwargs – see sklearn.metrics.mean_squared_error for additional options

Returns:

nrmse – A normalized version of RMSE

Return type:

float or ndarray of floats