com.google.cloud.automl.v1

Interface BoundingBoxMetricsEntryOrBuilder

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

Method Summary

Modifier and Type	Method and 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

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getIouThreshold

float getIouThreshold()

 Output only. The intersection-over-union threshold value used to compute
 this metrics entry.
 

float iou_threshold = 1;

Returns:

The iouThreshold.

getMeanAveragePrecision

float getMeanAveragePrecision()

 Output only. The mean average precision, most often close to au_prc.
 

float mean_average_precision = 2;

Returns:

The meanAveragePrecision.

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;

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;

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;

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;

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;