Uses of Class
com.google.cloud.documentai.v1.Evaluation.Metrics.Builder
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Uses of Evaluation.Metrics.Builder in com.google.cloud.documentai.v1
Methods in com.google.cloud.documentai.v1 that return Evaluation.Metrics.BuilderModifier and TypeMethodDescriptionEvaluation.Metrics.Builder.clear()Evaluation.Metrics.Builder.clearF1Score()The calculated f1 score.Evaluation.Metrics.Builder.clearFalseNegativesCount()The amount of false negatives.Evaluation.Metrics.Builder.clearFalsePositivesCount()The amount of false positives.Evaluation.Metrics.Builder.clearGroundTruthDocumentCount()The amount of documents with a ground truth occurrence.Evaluation.Metrics.Builder.clearGroundTruthOccurrencesCount()The amount of occurrences in ground truth documents.Evaluation.Metrics.Builder.clearPrecision()The calculated precision.Evaluation.Metrics.Builder.clearPredictedDocumentCount()The amount of documents with a predicted occurrence.Evaluation.Metrics.Builder.clearPredictedOccurrencesCount()The amount of occurrences in predicted documents.Evaluation.Metrics.Builder.clearRecall()The calculated recall.Evaluation.Metrics.Builder.clearTotalDocumentsCount()The amount of documents that had an occurrence of this label.Evaluation.Metrics.Builder.clearTruePositivesCount()The amount of true positives.EvaluationReference.Builder.getAggregateMetricsBuilder()An aggregate of the statistics for the evaluation with fuzzy matching on.EvaluationReference.Builder.getAggregateMetricsExactBuilder()An aggregate of the statistics for the evaluation with fuzzy matching off.Evaluation.ConfidenceLevelMetrics.Builder.getMetricsBuilder()The metrics at the specific confidence level.Evaluation.Metrics.Builder.mergeFrom(Evaluation.Metrics other) Evaluation.Metrics.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Evaluation.Metrics.Builder.mergeFrom(com.google.protobuf.Message other) static Evaluation.Metrics.BuilderEvaluation.Metrics.newBuilder()static Evaluation.Metrics.BuilderEvaluation.Metrics.newBuilder(Evaluation.Metrics prototype) Evaluation.Metrics.newBuilderForType()protected Evaluation.Metrics.BuilderEvaluation.Metrics.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) Evaluation.Metrics.Builder.setF1Score(float value) The calculated f1 score.Evaluation.Metrics.Builder.setFalseNegativesCount(int value) The amount of false negatives.Evaluation.Metrics.Builder.setFalsePositivesCount(int value) The amount of false positives.Evaluation.Metrics.Builder.setGroundTruthDocumentCount(int value) The amount of documents with a ground truth occurrence.Evaluation.Metrics.Builder.setGroundTruthOccurrencesCount(int value) The amount of occurrences in ground truth documents.Evaluation.Metrics.Builder.setPrecision(float value) The calculated precision.Evaluation.Metrics.Builder.setPredictedDocumentCount(int value) The amount of documents with a predicted occurrence.Evaluation.Metrics.Builder.setPredictedOccurrencesCount(int value) The amount of occurrences in predicted documents.Evaluation.Metrics.Builder.setRecall(float value) The calculated recall.Evaluation.Metrics.Builder.setTotalDocumentsCount(int value) The amount of documents that had an occurrence of this label.Evaluation.Metrics.Builder.setTruePositivesCount(int value) The amount of true positives.Evaluation.Metrics.toBuilder()Methods in com.google.cloud.documentai.v1 with parameters of type Evaluation.Metrics.BuilderModifier and TypeMethodDescriptionEvaluationReference.Builder.setAggregateMetrics(Evaluation.Metrics.Builder builderForValue) An aggregate of the statistics for the evaluation with fuzzy matching on.EvaluationReference.Builder.setAggregateMetricsExact(Evaluation.Metrics.Builder builderForValue) An aggregate of the statistics for the evaluation with fuzzy matching off.Evaluation.ConfidenceLevelMetrics.Builder.setMetrics(Evaluation.Metrics.Builder builderForValue) The metrics at the specific confidence level.