📄 Source: GoogleCloudAiplatformV1ModelExplanation.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 GoogleCloudAiplatformV1ModelExplanation extends \Google\Collection
{
protected $collection_key = 'meanAttributions';
protected $meanAttributionsType = GoogleCloudAiplatformV1Attribution::class;
protected $meanAttributionsDataType = 'array';
/**
* Output only. Aggregated attributions explaining the Model's prediction
* outputs over the set of instances. The attributions are grouped by outputs.
* For Models that predict only one output, such as regression Models that
* predict only one score, there is only one attibution that explains the
* predicted output. For Models that predict multiple outputs, such as
* multiclass Models that predict multiple classes, each element explains one
* specific item. Attribution.output_index can be used to identify which
* output this attribution is explaining. The baselineOutputValue,
* instanceOutputValue and featureAttributions fields are averaged over the
* test data. NOTE: Currently AutoML tabular classification Models produce
* only one attribution, which averages attributions over all the classes it
* predicts. Attribution.approximation_error is not populated.
*
* @param GoogleCloudAiplatformV1Attribution[] $meanAttributions
*/
public function setMeanAttributions($meanAttributions)
{
$this->meanAttributions = $meanAttributions;
}
/**
* @return GoogleCloudAiplatformV1Attribution[]
*/
public function getMeanAttributions()
{
return $this->meanAttributions;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1ModelExplanation::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1ModelExplanation');
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