google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
*/
class ConfidenceMetricsEntry extends \Google\Protobuf\Internal\Message
{
/**
* Output only. The confidence threshold value used to compute the metrics.
* Only annotations with score of at least this threshold are considered to
* be ones the model would return.
*
* Generated from protobuf field float confidence_threshold = 1;
*/
private $confidence_threshold = 0.0;
/**
* Output only. Recall under the given confidence threshold.
*
* Generated from protobuf field float recall = 3;
*/
private $recall = 0.0;
/**
* Output only. Precision under the given confidence threshold.
*
* Generated from protobuf field float precision = 4;
*/
private $precision = 0.0;
/**
* Output only. The harmonic mean of recall and precision.
*
* Generated from protobuf field float f1_score = 5;
*/
private $f1_score = 0.0;
/**
* Constructor.
*
* @param array $data {
* Optional. Data for populating the Message object.
*
* @type float $confidence_threshold
* Output only. The confidence threshold value used to compute the metrics.
* Only annotations with score of at least this threshold are considered to
* be ones the model would return.
* @type float $recall
* Output only. Recall under the given confidence threshold.
* @type float $precision
* Output only. Precision under the given confidence threshold.
* @type float $f1_score
* Output only. The harmonic mean of recall and precision.
* }
*/
public function __construct($data = NULL) {
\GPBMetadata\Google\Cloud\Automl\V1\TextExtraction::initOnce();
parent::__construct($data);
}
/**
* Output only. The confidence threshold value used to compute the metrics.
* Only annotations with score of at least this threshold are considered to
* be ones the model would return.
*
* Generated from protobuf field float confidence_threshold = 1;
* @return float
*/
public function getConfidenceThreshold()
{
return $this->confidence_threshold;
}
/**
* Output only. The confidence threshold value used to compute the metrics.
* Only annotations with score of at least this threshold are considered to
* be ones the model would return.
*
* Generated from protobuf field float confidence_threshold = 1;
* @param float $var
* @return $this
*/
public function setConfidenceThreshold($var)
{
GPBUtil::checkFloat($var);
$this->confidence_threshold = $var;
return $this;
}
/**
* Output only. Recall under the given confidence threshold.
*
* Generated from protobuf field float recall = 3;
* @return float
*/
public function getRecall()
{
return $this->recall;
}
/**
* Output only. Recall under the given confidence threshold.
*
* Generated from protobuf field float recall = 3;
* @param float $var
* @return $this
*/
public function setRecall($var)
{
GPBUtil::checkFloat($var);
$this->recall = $var;
return $this;
}
/**
* Output only. Precision under the given confidence threshold.
*
* Generated from protobuf field float precision = 4;
* @return float
*/
public function getPrecision()
{
return $this->precision;
}
/**
* Output only. Precision under the given confidence threshold.
*
* Generated from protobuf field float precision = 4;
* @param float $var
* @return $this
*/
public function setPrecision($var)
{
GPBUtil::checkFloat($var);
$this->precision = $var;
return $this;
}
/**
* Output only. The harmonic mean of recall and precision.
*
* Generated from protobuf field float f1_score = 5;
* @return float
*/
public function getF1Score()
{
return $this->f1_score;
}
/**
* Output only. The harmonic mean of recall and precision.
*
* Generated from protobuf field float f1_score = 5;
* @param float $var
* @return $this
*/
public function setF1Score($var)
{
GPBUtil::checkFloat($var);
$this->f1_score = $var;
return $this;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(ConfidenceMetricsEntry::class, \Google\Cloud\AutoMl\V1\TextExtractionEvaluationMetrics_ConfidenceMetricsEntry::class);