Skip to content

MSE

Mean squared error.

Attributes

  • bigger_is_better

    Indicate if a high value is better than a low one or not.

  • works_with_weights

    Indicate whether the model takes into consideration the effect of sample weights

Examples

>>> from river import metrics

>>> y_true = [3, -0.5, 2, 7]
>>> y_pred = [2.5, 0.0, 2, 8]

>>> metric = metrics.MSE()

>>> for yt, yp in zip(y_true, y_pred):
...     print(metric.update(yt, yp).get())
0.25
0.25
0.1666
0.375

Methods

get

Return the current value of the metric.

is_better_than
revert

Revert the metric.

Parameters

  • y_true (numbers.Number)
  • y_pred (numbers.Number)
  • sample_weight – defaults to 1.0
update

Update the metric.

Parameters

  • y_true (numbers.Number)
  • y_pred (numbers.Number)
  • sample_weight – defaults to 1.0
works_with

Indicates whether or not a metric can work with a given model.

Parameters

  • model