📄 Source: GoogleCloudAiplatformV1ExplainRequest.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 GoogleCloudAiplatformV1ExplainRequest extends \Google\Collection
{
protected $collection_key = 'instances';
/**
* If specified, this ExplainRequest will be served by the chosen
* DeployedModel, overriding Endpoint.traffic_split.
*
* @var string
*/
public $deployedModelId;
protected $explanationSpecOverrideType = GoogleCloudAiplatformV1ExplanationSpecOverride::class;
protected $explanationSpecOverrideDataType = '';
/**
* Required. The instances that are the input to the explanation call. A
* DeployedModel may have an upper limit on the number of instances it
* supports per request, and when it is exceeded the explanation call errors
* in case of AutoML Models, or, in case of customer created Models, the
* behaviour is as documented by that Model. The schema of any single instance
* may be specified via Endpoint's DeployedModels' Model's PredictSchemata's
* instance_schema_uri.
*
* @var array[]
*/
public $instances;
/**
* The parameters that govern the prediction. The schema of the parameters may
* be specified via Endpoint's DeployedModels' Model's PredictSchemata's
* parameters_schema_uri.
*
* @var array
*/
public $parameters;
/**
* If specified, this ExplainRequest will be served by the chosen
* DeployedModel, overriding Endpoint.traffic_split.
*
* @param string $deployedModelId
*/
public function setDeployedModelId($deployedModelId)
{
$this->deployedModelId = $deployedModelId;
}
/**
* @return string
*/
public function getDeployedModelId()
{
return $this->deployedModelId;
}
/**
* If specified, overrides the explanation_spec of the DeployedModel. Can be
* used for explaining prediction results with different configurations, such
* as: - Explaining top-5 predictions results as opposed to top-1; -
* Increasing path count or step count of the attribution methods to reduce
* approximate errors; - Using different baselines for explaining the
* prediction results.
*
* @param GoogleCloudAiplatformV1ExplanationSpecOverride $explanationSpecOverride
*/
public function setExplanationSpecOverride(GoogleCloudAiplatformV1ExplanationSpecOverride $explanationSpecOverride)
{
$this->explanationSpecOverride = $explanationSpecOverride;
}
/**
* @return GoogleCloudAiplatformV1ExplanationSpecOverride
*/
public function getExplanationSpecOverride()
{
return $this->explanationSpecOverride;
}
/**
* Required. The instances that are the input to the explanation call. A
* DeployedModel may have an upper limit on the number of instances it
* supports per request, and when it is exceeded the explanation call errors
* in case of AutoML Models, or, in case of customer created Models, the
* behaviour is as documented by that Model. The schema of any single instance
* may be specified via Endpoint's DeployedModels' Model's PredictSchemata's
* instance_schema_uri.
*
* @param array[] $instances
*/
public function setInstances($instances)
{
$this->instances = $instances;
}
/**
* @return array[]
*/
public function getInstances()
{
return $this->instances;
}
/**
* The parameters that govern the prediction. The schema of the parameters may
* be specified via Endpoint's DeployedModels' Model's PredictSchemata's
* parameters_schema_uri.
*
* @param array $parameters
*/
public function setParameters($parameters)
{
$this->parameters = $parameters;
}
/**
* @return array
*/
public function getParameters()
{
return $this->parameters;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1ExplainRequest::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1ExplainRequest');
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