Uses of Class
com.google.cloud.documentai.v1.Evaluation.Metrics
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Uses of Evaluation.Metrics in com.google.cloud.documentai.v1
Methods in com.google.cloud.documentai.v1 that return Evaluation.MetricsModifier and TypeMethodDescriptionEvaluation.Metrics.Builder.build()Evaluation.Metrics.Builder.buildPartial()EvaluationReference.Builder.getAggregateMetrics()An aggregate of the statistics for the evaluation with fuzzy matching on.EvaluationReference.getAggregateMetrics()An aggregate of the statistics for the evaluation with fuzzy matching on.EvaluationReferenceOrBuilder.getAggregateMetrics()An aggregate of the statistics for the evaluation with fuzzy matching on.EvaluationReference.Builder.getAggregateMetricsExact()An aggregate of the statistics for the evaluation with fuzzy matching off.EvaluationReference.getAggregateMetricsExact()An aggregate of the statistics for the evaluation with fuzzy matching off.EvaluationReferenceOrBuilder.getAggregateMetricsExact()An aggregate of the statistics for the evaluation with fuzzy matching off.static Evaluation.MetricsEvaluation.Metrics.getDefaultInstance()Evaluation.Metrics.Builder.getDefaultInstanceForType()Evaluation.Metrics.getDefaultInstanceForType()Evaluation.ConfidenceLevelMetrics.Builder.getMetrics()The metrics at the specific confidence level.Evaluation.ConfidenceLevelMetrics.getMetrics()The metrics at the specific confidence level.Evaluation.ConfidenceLevelMetricsOrBuilder.getMetrics()The metrics at the specific confidence level.static Evaluation.MetricsEvaluation.Metrics.parseDelimitedFrom(InputStream input) static Evaluation.MetricsEvaluation.Metrics.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Evaluation.MetricsEvaluation.Metrics.parseFrom(byte[] data) static Evaluation.MetricsEvaluation.Metrics.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Evaluation.MetricsEvaluation.Metrics.parseFrom(com.google.protobuf.ByteString data) static Evaluation.MetricsEvaluation.Metrics.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Evaluation.MetricsEvaluation.Metrics.parseFrom(com.google.protobuf.CodedInputStream input) static Evaluation.MetricsEvaluation.Metrics.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Evaluation.MetricsEvaluation.Metrics.parseFrom(InputStream input) static Evaluation.MetricsEvaluation.Metrics.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Evaluation.MetricsEvaluation.Metrics.parseFrom(ByteBuffer data) static Evaluation.MetricsEvaluation.Metrics.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Methods in com.google.cloud.documentai.v1 that return types with arguments of type Evaluation.MetricsModifier and TypeMethodDescriptioncom.google.protobuf.Parser<Evaluation.Metrics>Evaluation.Metrics.getParserForType()static com.google.protobuf.Parser<Evaluation.Metrics>Evaluation.Metrics.parser()Methods in com.google.cloud.documentai.v1 with parameters of type Evaluation.MetricsModifier and TypeMethodDescriptionEvaluationReference.Builder.mergeAggregateMetrics(Evaluation.Metrics value) An aggregate of the statistics for the evaluation with fuzzy matching on.EvaluationReference.Builder.mergeAggregateMetricsExact(Evaluation.Metrics value) An aggregate of the statistics for the evaluation with fuzzy matching off.Evaluation.Metrics.Builder.mergeFrom(Evaluation.Metrics other) Evaluation.ConfidenceLevelMetrics.Builder.mergeMetrics(Evaluation.Metrics value) The metrics at the specific confidence level.static Evaluation.Metrics.BuilderEvaluation.Metrics.newBuilder(Evaluation.Metrics prototype) EvaluationReference.Builder.setAggregateMetrics(Evaluation.Metrics value) An aggregate of the statistics for the evaluation with fuzzy matching on.EvaluationReference.Builder.setAggregateMetricsExact(Evaluation.Metrics value) An aggregate of the statistics for the evaluation with fuzzy matching off.Evaluation.ConfidenceLevelMetrics.Builder.setMetrics(Evaluation.Metrics value) The metrics at the specific confidence level.