google.cloud.automl.v1.BoundingBoxMetricsEntry
*/
class BoundingBoxMetricsEntry extends \Google\Protobuf\Internal\Message
{
/**
* Output only. The intersection-over-union threshold value used to compute
* this metrics entry.
*
* Generated from protobuf field float iou_threshold = 1;
*/
private $iou_threshold = 0.0;
/**
* Output only. The mean average precision, most often close to au_prc.
*
* Generated from protobuf field float mean_average_precision = 2;
*/
private $mean_average_precision = 0.0;
/**
* 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.
*
* Generated from protobuf field repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
*/
private $confidence_metrics_entries;
/**
* Constructor.
*
* @param array $data {
* Optional. Data for populating the Message object.
*
* @type float $iou_threshold
* Output only. The intersection-over-union threshold value used to compute
* this metrics entry.
* @type float $mean_average_precision
* Output only. The mean average precision, most often close to au_prc.
* @type array<\Google\Cloud\AutoMl\V1\BoundingBoxMetricsEntry\ConfidenceMetricsEntry>|\Google\Protobuf\Internal\RepeatedField $confidence_metrics_entries
* Output only. Metrics for each label-match confidence_threshold from
* 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
* derived from them.
* }
*/
public function __construct($data = NULL) {
\GPBMetadata\Google\Cloud\Automl\V1\Detection::initOnce();
parent::__construct($data);
}
/**
* Output only. The intersection-over-union threshold value used to compute
* this metrics entry.
*
* Generated from protobuf field float iou_threshold = 1;
* @return float
*/
public function getIouThreshold()
{
return $this->iou_threshold;
}
/**
* Output only. The intersection-over-union threshold value used to compute
* this metrics entry.
*
* Generated from protobuf field float iou_threshold = 1;
* @param float $var
* @return $this
*/
public function setIouThreshold($var)
{
GPBUtil::checkFloat($var);
$this->iou_threshold = $var;
return $this;
}
/**
* Output only. The mean average precision, most often close to au_prc.
*
* Generated from protobuf field float mean_average_precision = 2;
* @return float
*/
public function getMeanAveragePrecision()
{
return $this->mean_average_precision;
}
/**
* Output only. The mean average precision, most often close to au_prc.
*
* Generated from protobuf field float mean_average_precision = 2;
* @param float $var
* @return $this
*/
public function setMeanAveragePrecision($var)
{
GPBUtil::checkFloat($var);
$this->mean_average_precision = $var;
return $this;
}
/**
* 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.
*
* Generated from protobuf field repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
* @return \Google\Protobuf\Internal\RepeatedField
*/
public function getConfidenceMetricsEntries()
{
return $this->confidence_metrics_entries;
}
/**
* 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.
*
* Generated from protobuf field repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
* @param array<\Google\Cloud\AutoMl\V1\BoundingBoxMetricsEntry\ConfidenceMetricsEntry>|\Google\Protobuf\Internal\RepeatedField $var
* @return $this
*/
public function setConfidenceMetricsEntries($var)
{
$arr = GPBUtil::checkRepeatedField($var, \Google\Protobuf\Internal\GPBType::MESSAGE, \Google\Cloud\AutoMl\V1\BoundingBoxMetricsEntry\ConfidenceMetricsEntry::class);
$this->confidence_metrics_entries = $arr;
return $this;
}
}