Reference documentation and code samples for the Cloud AutoML V1 Client class BoundingBoxMetricsEntry.
Bounding box matching model metrics for a single intersection-over-union threshold and multiple label match confidence thresholds.
Generated from protobuf message google.cloud.automl.v1.BoundingBoxMetricsEntry
Namespace
Google \ Cloud \ AutoMl \ V1Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ iou_threshold |
float
Output only. The intersection-over-union threshold value used to compute this metrics entry. |
↳ mean_average_precision |
float
Output only. The mean average precision, most often close to au_prc. |
↳ confidence_metrics_entries |
array<Google\Cloud\AutoMl\V1\BoundingBoxMetricsEntry\ConfidenceMetricsEntry>
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. |
getIouThreshold
Output only. The intersection-over-union threshold value used to compute this metrics entry.
| Returns | |
|---|---|
| Type | Description |
float | |
setIouThreshold
Output only. The intersection-over-union threshold value used to compute this metrics entry.
| Parameter | |
|---|---|
| Name | Description |
var |
float
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getMeanAveragePrecision
Output only. The mean average precision, most often close to au_prc.
| Returns | |
|---|---|
| Type | Description |
float | |
setMeanAveragePrecision
Output only. The mean average precision, most often close to au_prc.
| Parameter | |
|---|---|
| Name | Description |
var |
float
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getConfidenceMetricsEntries
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.
| Returns | |
|---|---|
| Type | Description |
Google\Protobuf\Internal\RepeatedField | |
setConfidenceMetricsEntries
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.
| Parameter | |
|---|---|
| Name | Description |
var |
array<Google\Cloud\AutoMl\V1\BoundingBoxMetricsEntry\ConfidenceMetricsEntry>
|
| Returns | |
|---|---|
| Type | Description |
$this | |