📄 Source: GoogleCloudDatalabelingV1beta1ConfidenceMetricsEntry.php
<?php
/*
* Copyright 2014 Google Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not
* use this file except in compliance with the License. You may obtain a copy of
* the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations under
* the License.
*/
namespace Google\Service\DataLabeling;
class GoogleCloudDatalabelingV1beta1ConfidenceMetricsEntry extends \Google\Model
{
/**
* Threshold used for this entry. For classification tasks, this is a
* classification threshold: a predicted label is categorized as positive or
* negative (in the context of this point on the PR curve) based on whether
* the label's score meets this threshold. For image object detection
* (bounding box) tasks, this is the [intersection-over-union
* (IOU)](/vision/automl/object-detection/docs/evaluate#intersection-over-
* union) threshold for the context of this point on the PR curve.
*
* @var float
*/
public $confidenceThreshold;
/**
* Harmonic mean of recall and precision.
*
* @var float
*/
public $f1Score;
/**
* The harmonic mean of recall_at1 and precision_at1.
*
* @var float
*/
public $f1ScoreAt1;
/**
* The harmonic mean of recall_at5 and precision_at5.
*
* @var float
*/
public $f1ScoreAt5;
/**
* Precision value.
*
* @var float
*/
public $precision;
/**
* Precision value for entries with label that has highest score.
*
* @var float
*/
public $precisionAt1;
/**
* Precision value for entries with label that has highest 5 scores.
*
* @var float
*/
public $precisionAt5;
/**
* Recall value.
*
* @var float
*/
public $recall;
/**
* Recall value for entries with label that has highest score.
*
* @var float
*/
public $recallAt1;
/**
* Recall value for entries with label that has highest 5 scores.
*
* @var float
*/
public $recallAt5;
/**
* Threshold used for this entry. For classification tasks, this is a
* classification threshold: a predicted label is categorized as positive or
* negative (in the context of this point on the PR curve) based on whether
* the label's score meets this threshold. For image object detection
* (bounding box) tasks, this is the [intersection-over-union
* (IOU)](/vision/automl/object-detection/docs/evaluate#intersection-over-
* union) threshold for the context of this point on the PR curve.
*
* @param float $confidenceThreshold
*/
public function setConfidenceThreshold($confidenceThreshold)
{
$this->confidenceThreshold = $confidenceThreshold;
}
/**
* @return float
*/
public function getConfidenceThreshold()
{
return $this->confidenceThreshold;
}
/**
* Harmonic mean of recall and precision.
*
* @param float $f1Score
*/
public function setF1Score($f1Score)
{
$this->f1Score = $f1Score;
}
/**
* @return float
*/
public function getF1Score()
{
return $this->f1Score;
}
/**
* The harmonic mean of recall_at1 and precision_at1.
*
* @param float $f1ScoreAt1
*/
public function setF1ScoreAt1($f1ScoreAt1)
{
$this->f1ScoreAt1 = $f1ScoreAt1;
}
/**
* @return float
*/
public function getF1ScoreAt1()
{
return $this->f1ScoreAt1;
}
/**
* The harmonic mean of recall_at5 and precision_at5.
*
* @param float $f1ScoreAt5
*/
public function setF1ScoreAt5($f1ScoreAt5)
{
$this->f1ScoreAt5 = $f1ScoreAt5;
}
/**
* @return float
*/
public function getF1ScoreAt5()
{
return $this->f1ScoreAt5;
}
/**
* Precision value.
*
* @param float $precision
*/
public function setPrecision($precision)
{
$this->precision = $precision;
}
/**
* @return float
*/
public function getPrecision()
{
return $this->precision;
}
/**
* Precision value for entries with label that has highest score.
*
* @param float $precisionAt1
*/
public function setPrecisionAt1($precisionAt1)
{
$this->precisionAt1 = $precisionAt1;
}
/**
* @return float
*/
public function getPrecisionAt1()
{
return $this->precisionAt1;
}
/**
* Precision value for entries with label that has highest 5 scores.
*
* @param float $precisionAt5
*/
public function setPrecisionAt5($precisionAt5)
{
$this->precisionAt5 = $precisionAt5;
}
/**
* @return float
*/
public function getPrecisionAt5()
{
return $this->precisionAt5;
}
/**
* Recall value.
*
* @param float $recall
*/
public function setRecall($recall)
{
$this->recall = $recall;
}
/**
* @return float
*/
public function getRecall()
{
return $this->recall;
}
/**
* Recall value for entries with label that has highest score.
*
* @param float $recallAt1
*/
public function setRecallAt1($recallAt1)
{
$this->recallAt1 = $recallAt1;
}
/**
* @return float
*/
public function getRecallAt1()
{
return $this->recallAt1;
}
/**
* Recall value for entries with label that has highest 5 scores.
*
* @param float $recallAt5
*/
public function setRecallAt5($recallAt5)
{
$this->recallAt5 = $recallAt5;
}
/**
* @return float
*/
public function getRecallAt5()
{
return $this->recallAt5;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudDatalabelingV1beta1ConfidenceMetricsEntry::class, 'Google_Service_DataLabeling_GoogleCloudDatalabelingV1beta1ConfidenceMetricsEntry');
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