Cloud AutoML V1beta1 Client - Class BoundingBoxMetricsEntry (1.6.5)

Reference documentation and code samples for the Cloud AutoML V1beta1 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.v1beta1.BoundingBoxMetricsEntry

Namespace

Google \ Cloud \ AutoMl \ V1beta1

Methods

__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\V1beta1\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\V1beta1\BoundingBoxMetricsEntry\ConfidenceMetricsEntry>
Returns
Type Description
$this