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):
    metric.update(yt, yp)
    print(metric.get())

0.25
0.25
0.1666
0.375

Methods

get

Return the current value of the metric.

is_better_than

Indicate if the current metric is better than another one.

Parameters

• other

revert

Revert the metric.

Parameters

• y_true — 'numbers.Number'
• y_pred — 'numbers.Number'
• w — defaults to 1.0

update

Update the metric.

Parameters

• y_true — 'numbers.Number'
• y_pred — 'numbers.Number'
• w — defaults to 1.0

works_with

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

Parameters

• model