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