TrainingMetrics class
The training metric details.
Constructors
-
TrainingMetrics({double? auc, List<
MetricDataPoint> ? metricDataPoints}) -
TrainingMetrics.fromJson(Map<
String, dynamic> json) -
factory
Properties
- auc → double?
-
The area under the curve. This summarizes true positive rate (TPR) and false
positive rate (FPR) across all possible model score thresholds. A model with
no predictive power has an AUC of 0.5, whereas a perfect model has a score
of 1.0.
final
- hashCode → int
-
The hash code for this object.
no setterinherited
-
metricDataPoints
→ List<
MetricDataPoint> ? -
The data points details.
final
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
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