Metrics class
Provides metrics that are used to evaluate the performance of a predictor. This object is part of the WindowSummary object.
Constructors
-
Metrics({List<
ErrorMetric> ? errorMetrics, double? rmse, List<WeightedQuantileLoss> ? weightedQuantileLosses}) -
Metrics.fromJson(Map<
String, dynamic> json) -
factory
Properties
-
errorMetrics
→ List<
ErrorMetric> ? -
Provides detailed error metrics on forecast type, root-mean square-error
(RMSE), and weighted average percentage error (WAPE).
final
- hashCode → int
-
The hash code for this object.
no setterinherited
- rmse → double?
-
The root-mean-square error (RMSE).
final
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
-
weightedQuantileLosses
→ List<
WeightedQuantileLoss> ? -
An array of weighted quantile losses. Quantiles divide a probability
distribution into regions of equal probability. The distribution in this
case is the loss function.
final
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited