pyufunc.mean_squared_log_error#

pyufunc.mean_squared_log_error(y_true, y_pred)#

Calculate mean squared log error between y_true and y_pred.

Parameters:

  • y_true – Iterable, The true values

  • y_pred – Iterable, The predicted values

Raises:

  • TypeError – If y_true or y_pred is not an iterable object

  • TypeError – Input should be an iterable object

Returns:

float, The mean squared log error

Example

>>> from pyufunc import mean_squared_log_error
>>> y_true = [3, 5, 2.5, 7]
>>> y_pred = [2.5, 5, 4, 8]
>>> mean_squared_log_error(y_true, y_pred)
0.03973012298459379