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public interface BoundingBoxMetricsEntryOrBuilder extends MessageOrBuilder
Implements
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;
Parameter | |
---|---|
Name | Description |
index |
int |
Returns | |
---|---|
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;
Returns | |
---|---|
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;
Returns | |
---|---|
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;
Parameter | |
---|---|
Name | Description |
index |
int |
Returns | |
---|---|
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;
Returns | |
---|---|
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;
Returns | |
---|---|
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;
Returns | |
---|---|
Type | Description |
float |
The meanAveragePrecision. |