TrainingMetrics

public struct TrainingMetrics : AWSShape

Undocumented

  • Declaration

    Swift

    public static var _members: [AWSShapeMember]
  • auc

    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.

    Declaration

    Swift

    public let auc: Float?

  • The data points details.

    Declaration

    Swift

    public let metricDataPoints: [MetricDataPoint]?

  • Undocumented

    Declaration

    Swift

    public init(auc: Float? = nil, metricDataPoints: [MetricDataPoint]? = nil)