conn2res.performance.root_mean_squared_error

conn2res.performance.root_mean_squared_error(y_true, y_pred, sample_weight=None, multioutput='uniform_average', normalize=True, **kwargs)

Root mean squared error. If normalize is True, the error is normalized by the variance of y_true.

Parameters:

• y_true (numpy.ndarray) – Ground truth target values.

• y_pred (numpy.ndarray) – Predicted target values.

• sample_weight (numpy.ndarray) – Sample weights.

• multioutput (str) –

  Defines aggregating of multiple output scores:

  ‘raw_values’ : Returns a full set of scores in case of multioutput input.

  ‘uniform_average’ : Scores of all outputs are averaged with uniform weight.

• normalize (bool) – If True normalizes error by variance of y_true

Returns:

error – A floating point value or an array of floating point values, one for each individual target.

Return type:

float or ndarray of floats.