Package com.google.cloud.automl.v1beta1

Interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

    • Method Detail

      • 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.

      • getBaseAuPrc

        @Deprecated
float getBaseAuPrc()
        Deprecated.
        google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.base_au_prc is deprecated. See google/cloud/automl/v1beta1/classification.proto;l=188
         Output only. The Area Under Precision-Recall Curve metric based on priors.
 Micro-averaged for the overall evaluation.
 Deprecated.
        float base_au_prc = 2 [deprecated = true];
        Returns:
        The baseAuPrc.

      • 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<ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

      • getConfidenceMetricsEntry

        ClassificationProto.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.v1beta1.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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

      • getConfidenceMetricsEntryOrBuilderList

        List<? extends ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

      • getConfidenceMetricsEntryOrBuilder

        ClassificationProto.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.v1beta1.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
        Returns:
        Whether the confusionMatrix field is set.

      • getConfusionMatrix

        ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
        Returns:
        The confusionMatrix.

      • getConfusionMatrixOrBuilder

        ClassificationProto.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.v1beta1.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.