Package com.google.cloud.automl.v1

Interface ClassificationEvaluationMetricsOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ClassificationEvaluationMetrics, ClassificationEvaluationMetrics.Builder
@Generated public interface ClassificationEvaluationMetricsOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getAuPrc

      float getAuPrc()
       Output only. The Area Under Precision-Recall Curve metric. Micro-averaged
 for the overall evaluation.
      float au_prc = 1;
      Returns:
      The auPrc.

    • getAuRoc

      float getAuRoc()
       Output only. The Area Under Receiver Operating Characteristic curve metric.
 Micro-averaged for the overall evaluation.
      float au_roc = 6;
      Returns:
      The auRoc.

    • getLogLoss

      float getLogLoss()
       Output only. The Log Loss metric.
      float log_loss = 7;
      Returns:
      The logLoss.

    • getConfidenceMetricsEntryList

      List<ClassificationEvaluationMetrics.ConfidenceMetricsEntry> getConfidenceMetricsEntryList()
       Output only. Metrics for each confidence_threshold in
 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
 position_threshold = INT32_MAX_VALUE.
 ROC and precision-recall curves, and other aggregated metrics are derived
 from them. The confidence metrics entries may also be supplied for
 additional values of position_threshold, but from these no aggregated
 metrics are computed.
      repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

    • getConfidenceMetricsEntry

      ClassificationEvaluationMetrics.ConfidenceMetricsEntry getConfidenceMetricsEntry(int index)
       Output only. Metrics for each confidence_threshold in
 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
 position_threshold = INT32_MAX_VALUE.
 ROC and precision-recall curves, and other aggregated metrics are derived
 from them. The confidence metrics entries may also be supplied for
 additional values of position_threshold, but from these no aggregated
 metrics are computed.
      repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

    • getConfidenceMetricsEntryCount

      int getConfidenceMetricsEntryCount()
       Output only. Metrics for each confidence_threshold in
 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
 position_threshold = INT32_MAX_VALUE.
 ROC and precision-recall curves, and other aggregated metrics are derived
 from them. The confidence metrics entries may also be supplied for
 additional values of position_threshold, but from these no aggregated
 metrics are computed.
      repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

    • getConfidenceMetricsEntryOrBuilderList

      List<? extends ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder> getConfidenceMetricsEntryOrBuilderList()
       Output only. Metrics for each confidence_threshold in
 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
 position_threshold = INT32_MAX_VALUE.
 ROC and precision-recall curves, and other aggregated metrics are derived
 from them. The confidence metrics entries may also be supplied for
 additional values of position_threshold, but from these no aggregated
 metrics are computed.
      repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

    • getConfidenceMetricsEntryOrBuilder

      ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder getConfidenceMetricsEntryOrBuilder(int index)
       Output only. Metrics for each confidence_threshold in
 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
 position_threshold = INT32_MAX_VALUE.
 ROC and precision-recall curves, and other aggregated metrics are derived
 from them. The confidence metrics entries may also be supplied for
 additional values of position_threshold, but from these no aggregated
 metrics are computed.
      repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

    • hasConfusionMatrix

      boolean hasConfusionMatrix()
       Output only. Confusion matrix of the evaluation.
 Only set for MULTICLASS classification problems where number
 of labels is no more than 10.
 Only set for model level evaluation, not for evaluation per label.
      .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
      Returns:
      Whether the confusionMatrix field is set.

    • getConfusionMatrix

      ClassificationEvaluationMetrics.ConfusionMatrix getConfusionMatrix()
       Output only. Confusion matrix of the evaluation.
 Only set for MULTICLASS classification problems where number
 of labels is no more than 10.
 Only set for model level evaluation, not for evaluation per label.
      .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
      Returns:
      The confusionMatrix.

    • getConfusionMatrixOrBuilder

      ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder getConfusionMatrixOrBuilder()
       Output only. Confusion matrix of the evaluation.
 Only set for MULTICLASS classification problems where number
 of labels is no more than 10.
 Only set for model level evaluation, not for evaluation per label.
      .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;

    • getAnnotationSpecIdList

      List<String> getAnnotationSpecIdList()
       Output only. The annotation spec ids used for this evaluation.
      repeated string annotation_spec_id = 5;
      Returns:
      A list containing the annotationSpecId.

    • getAnnotationSpecIdCount

      int getAnnotationSpecIdCount()
       Output only. The annotation spec ids used for this evaluation.
      repeated string annotation_spec_id = 5;
      Returns:
      The count of annotationSpecId.

    • getAnnotationSpecId

      String getAnnotationSpecId(int index)
       Output only. The annotation spec ids used for this evaluation.
      repeated string annotation_spec_id = 5;
      Parameters:
      index - The index of the element to return.
      Returns:
      The annotationSpecId at the given index.

    • getAnnotationSpecIdBytes

      com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index)
       Output only. The annotation spec ids used for this evaluation.
      repeated string annotation_spec_id = 5;
      Parameters:
      index - The index of the value to return.
      Returns:
      The bytes of the annotationSpecId at the given index.