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 \ V1beta1Methods
__construct
Constructor.
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.
float
setIouThreshold
Output only. The intersection-over-union threshold value used to compute this metrics entry.
var
float
$this
getMeanAveragePrecision
Output only. The mean average precision, most often close to au_prc.
float
setMeanAveragePrecision
Output only. The mean average precision, most often close to au_prc.
var
float
$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.
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.
$this
