Package com.google.cloud.documentai.v1

Interface Evaluation.MetricsOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
Evaluation.Metrics, Evaluation.Metrics.Builder
Enclosing class:
Evaluation
public static interface Evaluation.MetricsOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    float
    getF1Score()
    The calculated f1 score.
    int
    getFalseNegativesCount()
    The amount of false negatives.
    int
    getFalsePositivesCount()
    The amount of false positives.
    int
    getGroundTruthDocumentCount()
    The amount of documents with a ground truth occurrence.
    int
    getGroundTruthOccurrencesCount()
    The amount of occurrences in ground truth documents.
    float
    getPrecision()
    The calculated precision.
    int
    getPredictedDocumentCount()
    The amount of documents with a predicted occurrence.
    int
    getPredictedOccurrencesCount()
    The amount of occurrences in predicted documents.
    float
    getRecall()
    The calculated recall.
    int
    getTotalDocumentsCount()
    The amount of documents that had an occurrence of this label.
    int
    getTruePositivesCount()
    The amount of true positives.

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • getPrecision

      float getPrecision()
       The calculated precision.
      float precision = 1;
      Returns:
      The precision.

    • getRecall

      float getRecall()
       The calculated recall.
      float recall = 2;
      Returns:
      The recall.

    • getF1Score

      float getF1Score()
       The calculated f1 score.
      float f1_score = 3;
      Returns:
      The f1Score.

    • getPredictedOccurrencesCount

      int getPredictedOccurrencesCount()
       The amount of occurrences in predicted documents.
      int32 predicted_occurrences_count = 4;
      Returns:
      The predictedOccurrencesCount.

    • getGroundTruthOccurrencesCount

      int getGroundTruthOccurrencesCount()
       The amount of occurrences in ground truth documents.
      int32 ground_truth_occurrences_count = 5;
      Returns:
      The groundTruthOccurrencesCount.

    • getPredictedDocumentCount

      int getPredictedDocumentCount()
       The amount of documents with a predicted occurrence.
      int32 predicted_document_count = 10;
      Returns:
      The predictedDocumentCount.

    • getGroundTruthDocumentCount

      int getGroundTruthDocumentCount()
       The amount of documents with a ground truth occurrence.
      int32 ground_truth_document_count = 11;
      Returns:
      The groundTruthDocumentCount.

    • getTruePositivesCount

      int getTruePositivesCount()
       The amount of true positives.
      int32 true_positives_count = 6;
      Returns:
      The truePositivesCount.

    • getFalsePositivesCount

      int getFalsePositivesCount()
       The amount of false positives.
      int32 false_positives_count = 7;
      Returns:
      The falsePositivesCount.

    • getFalseNegativesCount

      int getFalseNegativesCount()
       The amount of false negatives.
      int32 false_negatives_count = 8;
      Returns:
      The falseNegativesCount.

    • getTotalDocumentsCount

      int getTotalDocumentsCount()
       The amount of documents that had an occurrence of this label.
      int32 total_documents_count = 9;
      Returns:
      The totalDocumentsCount.