Interface PrCurveOrBuilder (0.137.0)

Version 0.137.0

• 0.173.0 (latest)
• 0.172.0
• 0.171.0
• 0.169.0
• 0.168.0
• 0.167.0
• 0.166.0
• 0.165.0
• 0.164.0
• 0.163.0
• 0.162.0
• 0.161.0
• 0.160.0
• 0.159.0
• 0.157.0
• 0.156.0
• 0.155.0
• 0.154.0
• 0.153.0
• 0.152.0
• 0.151.0
• 0.150.0
• 0.149.0
• 0.148.0
• 0.147.0
• 0.144.0
• 0.143.0
• 0.142.0
• 0.141.0
• 0.140.0
• 0.139.0
• 0.138.0
• 0.137.0
• 0.136.0
• 0.135.0
• 0.134.0
• 0.133.0
• 0.132.0
• 0.131.0
• 0.129.0
• 0.128.0
• 0.127.0
• 0.126.0
• 0.125.0
• 0.124.0
• 0.123.7
• 0.122.11

public interface PrCurveOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getAnnotationSpec()

public abstract AnnotationSpec getAnnotationSpec()

The annotation spec of the label for which the precision-recall curve calculated. If this field is empty, that means the precision-recall curve is an aggregate curve for all labels.

.google.cloud.datalabeling.v1beta1.AnnotationSpec annotation_spec = 1;

Returns
Type	Description
AnnotationSpec	The annotationSpec.

getAnnotationSpecOrBuilder()

public abstract AnnotationSpecOrBuilder getAnnotationSpecOrBuilder()

The annotation spec of the label for which the precision-recall curve calculated. If this field is empty, that means the precision-recall curve is an aggregate curve for all labels.

.google.cloud.datalabeling.v1beta1.AnnotationSpec annotation_spec = 1;

Returns
Type	Description
AnnotationSpecOrBuilder

getAreaUnderCurve()

public abstract float getAreaUnderCurve()

Area under the precision-recall curve. Not to be confused with area under a receiver operating characteristic (ROC) curve.

float area_under_curve = 2;

Returns
Type	Description
float	The areaUnderCurve.

getConfidenceMetricsEntries(int index)

public abstract PrCurve.ConfidenceMetricsEntry getConfidenceMetricsEntries(int index)

Entries that make up the precision-recall graph. Each entry is a "point" on the graph drawn for a different confidence_threshold.

repeated .google.cloud.datalabeling.v1beta1.PrCurve.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Parameter
Name	Description
index	int

Returns
Type	Description
PrCurve.ConfidenceMetricsEntry

getConfidenceMetricsEntriesCount()

public abstract int getConfidenceMetricsEntriesCount()

Entries that make up the precision-recall graph. Each entry is a "point" on the graph drawn for a different confidence_threshold.

repeated .google.cloud.datalabeling.v1beta1.PrCurve.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Returns
Type	Description
int

getConfidenceMetricsEntriesList()

public abstract List<PrCurve.ConfidenceMetricsEntry> getConfidenceMetricsEntriesList()

Entries that make up the precision-recall graph. Each entry is a "point" on the graph drawn for a different confidence_threshold.

repeated .google.cloud.datalabeling.v1beta1.PrCurve.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Returns
Type	Description
List<ConfidenceMetricsEntry>

getConfidenceMetricsEntriesOrBuilder(int index)

public abstract PrCurve.ConfidenceMetricsEntryOrBuilder getConfidenceMetricsEntriesOrBuilder(int index)

Entries that make up the precision-recall graph. Each entry is a "point" on the graph drawn for a different confidence_threshold.

repeated .google.cloud.datalabeling.v1beta1.PrCurve.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Parameter
Name	Description
index	int

Returns
Type	Description
PrCurve.ConfidenceMetricsEntryOrBuilder

getConfidenceMetricsEntriesOrBuilderList()

public abstract List<? extends PrCurve.ConfidenceMetricsEntryOrBuilder> getConfidenceMetricsEntriesOrBuilderList()

Entries that make up the precision-recall graph. Each entry is a "point" on the graph drawn for a different confidence_threshold.

repeated .google.cloud.datalabeling.v1beta1.PrCurve.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Returns
Type	Description
List<? extends com.google.cloud.datalabeling.v1beta1.PrCurve.ConfidenceMetricsEntryOrBuilder>

getMeanAveragePrecision()

public abstract float getMeanAveragePrecision()

Mean average prcision of this curve.

float mean_average_precision = 4;

Returns
Type	Description
float	The meanAveragePrecision.

hasAnnotationSpec()

public abstract boolean hasAnnotationSpec()

The annotation spec of the label for which the precision-recall curve calculated. If this field is empty, that means the precision-recall curve is an aggregate curve for all labels.

.google.cloud.datalabeling.v1beta1.AnnotationSpec annotation_spec = 1;

Returns
Type	Description
boolean	Whether the annotationSpec field is set.