📄 Source: BinaryConfusionMatrix.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\Bigquery;
class BinaryConfusionMatrix extends \Google\Model
{
/**
* The fraction of predictions given the correct label.
*
* @var
*/
public $accuracy;
/**
* The equally weighted average of recall and precision.
*
* @var
*/
public $f1Score;
/**
* Number of false samples predicted as false.
*
* @var string
*/
public $falseNegatives;
/**
* Number of false samples predicted as true.
*
* @var string
*/
public $falsePositives;
/**
* Threshold value used when computing each of the following metric.
*
* @var
*/
public $positiveClassThreshold;
/**
* The fraction of actual positive predictions that had positive actual
* labels.
*
* @var
*/
public $precision;
/**
* The fraction of actual positive labels that were given a positive
* prediction.
*
* @var
*/
public $recall;
/**
* Number of true samples predicted as false.
*
* @var string
*/
public $trueNegatives;
/**
* Number of true samples predicted as true.
*
* @var string
*/
public $truePositives;
public function setAccuracy($accuracy)
{
$this->accuracy = $accuracy;
}
public function getAccuracy()
{
return $this->accuracy;
}
public function setF1Score($f1Score)
{
$this->f1Score = $f1Score;
}
public function getF1Score()
{
return $this->f1Score;
}
/**
* Number of false samples predicted as false.
*
* @param string $falseNegatives
*/
public function setFalseNegatives($falseNegatives)
{
$this->falseNegatives = $falseNegatives;
}
/**
* @return string
*/
public function getFalseNegatives()
{
return $this->falseNegatives;
}
/**
* Number of false samples predicted as true.
*
* @param string $falsePositives
*/
public function setFalsePositives($falsePositives)
{
$this->falsePositives = $falsePositives;
}
/**
* @return string
*/
public function getFalsePositives()
{
return $this->falsePositives;
}
public function setPositiveClassThreshold($positiveClassThreshold)
{
$this->positiveClassThreshold = $positiveClassThreshold;
}
public function getPositiveClassThreshold()
{
return $this->positiveClassThreshold;
}
public function setPrecision($precision)
{
$this->precision = $precision;
}
public function getPrecision()
{
return $this->precision;
}
public function setRecall($recall)
{
$this->recall = $recall;
}
public function getRecall()
{
return $this->recall;
}
/**
* Number of true samples predicted as false.
*
* @param string $trueNegatives
*/
public function setTrueNegatives($trueNegatives)
{
$this->trueNegatives = $trueNegatives;
}
/**
* @return string
*/
public function getTrueNegatives()
{
return $this->trueNegatives;
}
/**
* Number of true samples predicted as true.
*
* @param string $truePositives
*/
public function setTruePositives($truePositives)
{
$this->truePositives = $truePositives;
}
/**
* @return string
*/
public function getTruePositives()
{
return $this->truePositives;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(BinaryConfusionMatrix::class, 'Google_Service_Bigquery_BinaryConfusionMatrix');
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