📄 Source: GoogleCloudAiplatformV1Explanation.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 GoogleCloudAiplatformV1Explanation extends \Google\Collection
{
protected $collection_key = 'neighbors';
protected $attributionsType = GoogleCloudAiplatformV1Attribution::class;
protected $attributionsDataType = 'array';
protected $neighborsType = GoogleCloudAiplatformV1Neighbor::class;
protected $neighborsDataType = 'array';
/**
* Output only. Feature attributions grouped by predicted 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. By default, we provide Shapley values for the
* predicted class. However, you can configure the explanation request to
* generate Shapley values for any other classes too. For example, if a model
* predicts a probability of `0.4` for approving a loan application, the
* model's decision is to reject the application since `p(reject) = 0.6 >
* p(approve) = 0.4`, and the default Shapley values would be computed for
* rejection decision and not approval, even though the latter might be the
* positive class. If users set ExplanationParameters.top_k, the attributions
* are sorted by instance_output_value in descending order. If
* ExplanationParameters.output_indices is specified, the attributions are
* stored by Attribution.output_index in the same order as they appear in the
* output_indices.
*
* @param GoogleCloudAiplatformV1Attribution[] $attributions
*/
public function setAttributions($attributions)
{
$this->attributions = $attributions;
}
/**
* @return GoogleCloudAiplatformV1Attribution[]
*/
public function getAttributions()
{
return $this->attributions;
}
/**
* Output only. List of the nearest neighbors for example-based explanations.
* For models deployed with the examples explanations feature enabled, the
* attributions field is empty and instead the neighbors field is populated.
*
* @param GoogleCloudAiplatformV1Neighbor[] $neighbors
*/
public function setNeighbors($neighbors)
{
$this->neighbors = $neighbors;
}
/**
* @return GoogleCloudAiplatformV1Neighbor[]
*/
public function getNeighbors()
{
return $this->neighbors;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1Explanation::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1Explanation');
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