132 lines
3.1 KiB
PHP
132 lines
3.1 KiB
PHP
<?php
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/*
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* Copyright 2014 Google Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License"); you may not
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* use this file except in compliance with the License. You may obtain a copy of
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* the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations under
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* the License.
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*/
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namespace Google\Service\Bigquery;
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class AggregateClassificationMetrics extends \Google\Model
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{
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/**
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* Accuracy is the fraction of predictions given the correct label. For
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* multiclass this is a micro-averaged metric.
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*
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* @var
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*/
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public $accuracy;
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/**
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* The F1 score is an average of recall and precision. For multiclass this is
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* a macro-averaged metric.
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*
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* @var
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*/
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public $f1Score;
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/**
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* Logarithmic Loss. For multiclass this is a macro-averaged metric.
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*
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* @var
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*/
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public $logLoss;
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/**
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* Precision is the fraction of actual positive predictions that had positive
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* actual labels. For multiclass this is a macro-averaged metric treating each
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* class as a binary classifier.
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*
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* @var
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*/
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public $precision;
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/**
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* Recall is the fraction of actual positive labels that were given a positive
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* prediction. For multiclass this is a macro-averaged metric.
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*
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* @var
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*/
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public $recall;
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/**
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* Area Under a ROC Curve. For multiclass this is a macro-averaged metric.
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*
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* @var
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*/
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public $rocAuc;
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/**
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* Threshold at which the metrics are computed. For binary classification
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* models this is the positive class threshold. For multi-class classification
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* models this is the confidence threshold.
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*
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* @var
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*/
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public $threshold;
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public function setAccuracy($accuracy)
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{
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$this->accuracy = $accuracy;
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}
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public function getAccuracy()
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{
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return $this->accuracy;
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}
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public function setF1Score($f1Score)
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{
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$this->f1Score = $f1Score;
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}
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public function getF1Score()
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{
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return $this->f1Score;
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}
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public function setLogLoss($logLoss)
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{
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$this->logLoss = $logLoss;
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}
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public function getLogLoss()
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{
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return $this->logLoss;
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}
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public function setPrecision($precision)
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{
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$this->precision = $precision;
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}
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public function getPrecision()
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{
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return $this->precision;
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}
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public function setRecall($recall)
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{
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$this->recall = $recall;
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}
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public function getRecall()
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{
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return $this->recall;
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}
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public function setRocAuc($rocAuc)
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{
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$this->rocAuc = $rocAuc;
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}
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public function getRocAuc()
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{
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return $this->rocAuc;
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}
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public function setThreshold($threshold)
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{
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$this->threshold = $threshold;
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}
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public function getThreshold()
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{
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return $this->threshold;
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}
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}
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// Adding a class alias for backwards compatibility with the previous class name.
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class_alias(AggregateClassificationMetrics::class, 'Google_Service_Bigquery_AggregateClassificationMetrics');
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