Interface BoundingBoxMetricsEntryOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
BoundingBoxMetricsEntry, BoundingBoxMetricsEntry.Builder

@Generated public interface BoundingBoxMetricsEntryOrBuilder extends com.google.protobuf.MessageOrBuilder
  • Method Details

    • getIouThreshold

      float getIouThreshold()
       Output only. The intersection-over-union threshold value used to compute
       this metrics entry.
       
      float iou_threshold = 1;
      Returns:
      The iouThreshold.
    • getMeanAveragePrecision

      float getMeanAveragePrecision()
       Output only. The mean average precision, most often close to au_prc.
       
      float mean_average_precision = 2;
      Returns:
      The meanAveragePrecision.
    • getConfidenceMetricsEntriesList

      List<BoundingBoxMetricsEntry.ConfidenceMetricsEntry> getConfidenceMetricsEntriesList()
       Output only. Metrics for each label-match confidence_threshold from
       0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
       derived from them.
       
      repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
    • getConfidenceMetricsEntries

      BoundingBoxMetricsEntry.ConfidenceMetricsEntry getConfidenceMetricsEntries(int index)
       Output only. Metrics for each label-match confidence_threshold from
       0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
       derived from them.
       
      repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
    • getConfidenceMetricsEntriesCount

      int getConfidenceMetricsEntriesCount()
       Output only. Metrics for each label-match confidence_threshold from
       0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
       derived from them.
       
      repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
    • getConfidenceMetricsEntriesOrBuilderList

      List<? extends BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder> getConfidenceMetricsEntriesOrBuilderList()
       Output only. Metrics for each label-match confidence_threshold from
       0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
       derived from them.
       
      repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
    • getConfidenceMetricsEntriesOrBuilder

      BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder getConfidenceMetricsEntriesOrBuilder(int index)
       Output only. Metrics for each label-match confidence_threshold from
       0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
       derived from them.
       
      repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;