📄 Source: GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageSegmentationEvaluationMetrics.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\Aiplatform;
class GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageSegmentationEvaluationMetrics extends \Google\Collection
{
protected $collection_key = 'confidenceMetricsEntries';
protected $confidenceMetricsEntriesType = GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageSegmentationEvaluationMetricsConfidenceMetricsEntry::class;
protected $confidenceMetricsEntriesDataType = 'array';
/**
* Metrics for each confidenceThreshold in
* 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 Precision-recall curve can be
* derived from it.
*
* @param GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageSegmentationEvaluationMetricsConfidenceMetricsEntry[] $confidenceMetricsEntries
*/
public function setConfidenceMetricsEntries($confidenceMetricsEntries)
{
$this->confidenceMetricsEntries = $confidenceMetricsEntries;
}
/**
* @return GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageSegmentationEvaluationMetricsConfidenceMetricsEntry[]
*/
public function getConfidenceMetricsEntries()
{
return $this->confidenceMetricsEntries;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageSegmentationEvaluationMetrics::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageSegmentationEvaluationMetrics');
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