Package com.google.cloud.automl.v1
Interface BoundingBoxMetricsEntryOrBuilder
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- All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder
,com.google.protobuf.MessageOrBuilder
- All Known Implementing Classes:
BoundingBoxMetricsEntry
,BoundingBoxMetricsEntry.Builder
public interface BoundingBoxMetricsEntryOrBuilder extends com.google.protobuf.MessageOrBuilder
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description BoundingBoxMetricsEntry.ConfidenceMetricsEntry
getConfidenceMetricsEntries(int index)
Output only.int
getConfidenceMetricsEntriesCount()
Output only.List<BoundingBoxMetricsEntry.ConfidenceMetricsEntry>
getConfidenceMetricsEntriesList()
Output only.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder
getConfidenceMetricsEntriesOrBuilder(int index)
Output only.List<? extends BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder>
getConfidenceMetricsEntriesOrBuilderList()
Output only.float
getIouThreshold()
Output only.float
getMeanAveragePrecision()
Output only.-
Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Method Detail
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getIouThreshold
float getIouThreshold()
Output only. The intersection-over-union threshold value used to compute this metrics entry.
float iou_threshold = 1;
- Returns:
- The iouThreshold.
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getMeanAveragePrecision
float getMeanAveragePrecision()
Output only. The mean average precision, most often close to au_prc.
float mean_average_precision = 2;
- Returns:
- The meanAveragePrecision.
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getConfidenceMetricsEntriesList
List<BoundingBoxMetricsEntry.ConfidenceMetricsEntry> getConfidenceMetricsEntriesList()
Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.
repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
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getConfidenceMetricsEntries
BoundingBoxMetricsEntry.ConfidenceMetricsEntry getConfidenceMetricsEntries(int index)
Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.
repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
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getConfidenceMetricsEntriesCount
int getConfidenceMetricsEntriesCount()
Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.
repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
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getConfidenceMetricsEntriesOrBuilderList
List<? extends BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder> getConfidenceMetricsEntriesOrBuilderList()
Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.
repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
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getConfidenceMetricsEntriesOrBuilder
BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder getConfidenceMetricsEntriesOrBuilder(int index)
Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.
repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
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