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public interface PrCurveOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
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;
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;
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;
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;
Name | Description |
index | int |
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;
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;
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;
Name | Description |
index | int |
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;
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;
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;
Type | Description |
boolean | Whether the annotationSpec field is set. |