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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.v1.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.v1.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.v1.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.v1.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.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
| Type | Description |
| List<? extends com.google.cloud.automl.v1.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. |