Interface TrainingMetrics.Builder

    • Method Detail

      • auc

        TrainingMetrics.Builder auc​(Float 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.

        Parameters:
        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.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • metricDataPoints

        TrainingMetrics.Builder metricDataPoints​(Collection<MetricDataPoint> metricDataPoints)

        The data points details.

        Parameters:
        metricDataPoints - The data points details.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • metricDataPoints

        TrainingMetrics.Builder metricDataPoints​(MetricDataPoint... metricDataPoints)

        The data points details.

        Parameters:
        metricDataPoints - The data points details.
        Returns:
        Returns a reference to this object so that method calls can be chained together.