MSE

class MSE(mode: str = MetricAggregationMode.per_segment, **kwargs)[source]

Bases: etna.metrics.base.Metric

Mean squared error metric with multi-segment computation support.

\[MSE(y\_true, y\_pred) = \frac{\sum_{i=0}^{n-1}{(y\_true_i - y\_pred_i)^2}}{n}\]

Notes

You can read more about logic of multi-segment metrics in Metric docs.

Init metric.

Parameters

  • mode ('macro' or 'per-segment') – metrics aggregation mode

  • kwargs – metric’s computation arguments

Inherited-members

Attributes

name

Name of the metric for representation.