| Modifier and Type | Method and Description |
|---|---|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.clear() |
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.clearF1Score()
The calculated f1 score.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.clearFalseNegativesCount()
The amount of false negatives.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.clearFalsePositivesCount()
The amount of false positives.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field) |
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.clearGroundTruthDocumentCount()
The amount of documents with a ground truth occurrence.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.clearGroundTruthOccurrencesCount()
The amount of occurrences in ground truth documents.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) |
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.clearPrecision()
The calculated precision.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.clearPredictedDocumentCount()
The amount of documents with a predicted occurrence.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.clearPredictedOccurrencesCount()
The amount of occurrences in predicted documents.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.clearRecall()
The calculated recall.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.clearTotalDocumentsCount()
The amount of documents that had an occurrence of this label.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.clearTruePositivesCount()
The amount of true positives.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.clone() |
Evaluation.Metrics.Builder |
EvaluationReference.Builder.getAggregateMetricsBuilder()
An aggregate of the statistics for the evaluation with fuzzy matching on.
|
Evaluation.Metrics.Builder |
EvaluationReference.Builder.getAggregateMetricsExactBuilder()
An aggregate of the statistics for the evaluation with fuzzy matching off.
|
Evaluation.Metrics.Builder |
Evaluation.ConfidenceLevelMetrics.Builder.getMetricsBuilder()
The metrics at the specific confidence level.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.mergeFrom(Evaluation.Metrics other) |
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.mergeFrom(com.google.protobuf.Message other) |
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
static Evaluation.Metrics.Builder |
Evaluation.Metrics.newBuilder() |
static Evaluation.Metrics.Builder |
Evaluation.Metrics.newBuilder(Evaluation.Metrics prototype) |
Evaluation.Metrics.Builder |
Evaluation.Metrics.newBuilderForType() |
protected Evaluation.Metrics.Builder |
Evaluation.Metrics.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) |
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.setF1Score(float value)
The calculated f1 score.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.setFalseNegativesCount(int value)
The amount of false negatives.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.setFalsePositivesCount(int value)
The amount of false positives.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.setGroundTruthDocumentCount(int value)
The amount of documents with a ground truth occurrence.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.setGroundTruthOccurrencesCount(int value)
The amount of occurrences in ground truth documents.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.setPrecision(float value)
The calculated precision.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.setPredictedDocumentCount(int value)
The amount of documents with a predicted occurrence.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.setPredictedOccurrencesCount(int value)
The amount of occurrences in predicted documents.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.setRecall(float value)
The calculated recall.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value) |
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.setTotalDocumentsCount(int value)
The amount of documents that had an occurrence of this label.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.setTruePositivesCount(int value)
The amount of true positives.
|
Evaluation.Metrics.Builder |
Evaluation.Metrics.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
Evaluation.Metrics.Builder |
Evaluation.Metrics.toBuilder() |
| Modifier and Type | Method and Description |
|---|---|
EvaluationReference.Builder |
EvaluationReference.Builder.setAggregateMetrics(Evaluation.Metrics.Builder builderForValue)
An aggregate of the statistics for the evaluation with fuzzy matching on.
|
EvaluationReference.Builder |
EvaluationReference.Builder.setAggregateMetricsExact(Evaluation.Metrics.Builder builderForValue)
An aggregate of the statistics for the evaluation with fuzzy matching off.
|
Evaluation.ConfidenceLevelMetrics.Builder |
Evaluation.ConfidenceLevelMetrics.Builder.setMetrics(Evaluation.Metrics.Builder builderForValue)
The metrics at the specific confidence level.
|
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