Interface BoundingBoxMetricsEntryOrBuilder (2.22.0)

Version 2.22.0

• 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 MessageOrBuilder

Implements

MessageOrBuilder

Methods

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;

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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Returns
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;

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.