AutoMl/src/V1beta1/ClassificationEvaluationMetrics.php
public function setConfidenceMetricsEntry($var)
    {
        $arr = GPBUtil::checkRepeatedField($var, \Google\Protobuf\Internal\GPBType::MESSAGE, \Google\Cloud\AutoMl\V1beta1\ClassificationEvaluationMetrics\ConfidenceMetricsEntry::class);
        $this->confidence_metrics_entry = $arr;

        return $this;
    }
public function setConfidenceMetricsEntry($var)
    {
        $arr = GPBUtil::checkRepeatedField($var, \Google\Protobuf\Internal\GPBType::MESSAGE, \Google\Cloud\AutoMl\V1beta1\ClassificationEvaluationMetrics\ConfidenceMetricsEntry::class);
        $this->confidence_metrics_entry = $arr;

        return $this;
    }
public function setConfidenceMetricsEntry ( $ var ) { $ arr = GPBUtil :: checkRepeatedField ( $ var , \ Google \ Protobuf \ Internal \ GPBType :: MESSAGE , \ Google \ Cloud \ AutoMl \ V1beta1 \ ClassificationEvaluationMetrics \ ConfidenceMetricsEntry :: class ) ; $ this -> confidence_metrics_entry = $ arr ; return $ this ; }
Output only. Metrics that have confidence thresholds.
Precision-recall curve can be derived from it.

Generated from protobuf field <code>repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;</code>
@param \Google\Cloud\AutoMl\V1beta1\ClassificationEvaluationMetrics\ConfidenceMetricsEntry[]|\Google\Protobuf\Internal\RepeatedField $var
@return $this
Output only . Metrics that have confidence thresholds . Precision - recall curve can be derived from it .