Reference documentation and code samples for the Google Cloud Datalabeling V1beta1 Client class PrCurve.
Generated from protobuf message google.cloud.datalabeling.v1beta1.PrCurve
Namespace
Google \ Cloud \ DataLabeling \ V1beta1Methods
__construct
Constructor.
Parameters | |
---|---|
Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ annotation_spec |
Google\Cloud\DataLabeling\V1beta1\AnnotationSpec
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. |
↳ area_under_curve |
float
Area under the precision-recall curve. Not to be confused with area under a receiver operating characteristic (ROC) curve. |
↳ confidence_metrics_entries |
array<Google\Cloud\DataLabeling\V1beta1\PrCurve\ConfidenceMetricsEntry>
Entries that make up the precision-recall graph. Each entry is a "point" on the graph drawn for a different |
↳ mean_average_precision |
float
Mean average prcision of this curve. |
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.
Returns | |
---|---|
Type | Description |
Google\Cloud\DataLabeling\V1beta1\AnnotationSpec|null |
hasAnnotationSpec
clearAnnotationSpec
setAnnotationSpec
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.
Parameter | |
---|---|
Name | Description |
var |
Google\Cloud\DataLabeling\V1beta1\AnnotationSpec
|
Returns | |
---|---|
Type | Description |
$this |
getAreaUnderCurve
Area under the precision-recall curve. Not to be confused with area under a receiver operating characteristic (ROC) curve.
Returns | |
---|---|
Type | Description |
float |
setAreaUnderCurve
Area under the precision-recall curve. Not to be confused with area under a receiver operating characteristic (ROC) curve.
Parameter | |
---|---|
Name | Description |
var |
float
|
Returns | |
---|---|
Type | Description |
$this |
getConfidenceMetricsEntries
Entries that make up the precision-recall graph. Each entry is a "point" on
the graph drawn for a different confidence_threshold
.
Returns | |
---|---|
Type | Description |
Google\Protobuf\Internal\RepeatedField |
setConfidenceMetricsEntries
Entries that make up the precision-recall graph. Each entry is a "point" on
the graph drawn for a different confidence_threshold
.
Parameter | |
---|---|
Name | Description |
var |
array<Google\Cloud\DataLabeling\V1beta1\PrCurve\ConfidenceMetricsEntry>
|
Returns | |
---|---|
Type | Description |
$this |
getMeanAveragePrecision
Mean average prcision of this curve.
Returns | |
---|---|
Type | Description |
float |
setMeanAveragePrecision
Mean average prcision of this curve.
Parameter | |
---|---|
Name | Description |
var |
float
|
Returns | |
---|---|
Type | Description |
$this |