pyufunc.mean_squared_error

pyufunc.mean_squared_error(y_true, y_pred)

Calculate mean squared 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 error

Example

>>> from pyufunc import mean_squared_error
>>> y_true = [3, -0.5, 2, 7]
>>> y_pred = [2.5, 0.0, 2, 8]
>>> mean_squared_error(y_true, y_pred)
0.375