- 2.51.0 (latest)
- 2.49.0
- 2.48.0
- 2.47.0
- 2.46.0
- 2.45.0
- 2.44.0
- 2.43.0
- 2.42.0
- 2.41.0
- 2.40.0
- 2.39.0
- 2.37.0
- 2.36.0
- 2.35.0
- 2.34.0
- 2.33.0
- 2.32.0
- 2.31.0
- 2.30.0
- 2.29.0
- 2.28.0
- 2.27.0
- 2.24.0
- 2.23.0
- 2.22.0
- 2.21.0
- 2.20.0
- 2.19.0
- 2.18.0
- 2.17.0
- 2.16.0
- 2.15.0
- 2.14.0
- 2.13.0
- 2.12.0
- 2.11.0
- 2.10.0
- 2.9.0
- 2.8.0
- 2.7.0
- 2.6.0
- 2.5.0
- 2.4.0
- 2.3.18
- 2.2.3
- 2.1.23
public interface BoundingBoxMetricsEntryOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getConfidenceMetricsEntries(int index)
public abstract 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.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
| Name | Description |
| index | int |
| Type | Description |
| BoundingBoxMetricsEntry.ConfidenceMetricsEntry |
getConfidenceMetricsEntriesCount()
public abstract 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.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
| Type | Description |
| int |
getConfidenceMetricsEntriesList()
public abstract 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.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
| Type | Description |
| List<ConfidenceMetricsEntry> |
getConfidenceMetricsEntriesOrBuilder(int index)
public abstract 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.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
| Name | Description |
| index | int |
| Type | Description |
| BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder |
getConfidenceMetricsEntriesOrBuilderList()
public abstract 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.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
| Type | Description |
| List<? extends com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder> |
getIouThreshold()
public abstract float getIouThreshold()Output only. The intersection-over-union threshold value used to compute this metrics entry.
float iou_threshold = 1;
| Type | Description |
| float | The iouThreshold. |
getMeanAveragePrecision()
public abstract float getMeanAveragePrecision()Output only. The mean average precision, most often close to au_prc.
float mean_average_precision = 2;
| Type | Description |
| float | The meanAveragePrecision. |