Cloud AutoML V1 Client - Class BoundingBoxMetricsEntry (2.1.1)

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 \ V1

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<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