📄 Source: GoogleCloudAiplatformV1ExplanationMetadata.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 GoogleCloudAiplatformV1ExplanationMetadata extends \Google\Model
{
/**
* Points to a YAML file stored on Google Cloud Storage describing the format
* of the feature attributions. The schema is defined as an OpenAPI 3.0.2
* [Schema Object](https://github.com/OAI/OpenAPI-
* Specification/blob/main/versions/3.0.2.md#schemaObject). AutoML tabular
* Models always have this field populated by Vertex AI. Note: The URI given
* on output may be different, including the URI scheme, than the one given on
* input. The output URI will point to a location where the user only has a
* read access.
*
* @var string
*/
public $featureAttributionsSchemaUri;
protected $inputsType = GoogleCloudAiplatformV1ExplanationMetadataInputMetadata::class;
protected $inputsDataType = 'map';
/**
* Name of the source to generate embeddings for example based explanations.
*
* @var string
*/
public $latentSpaceSource;
protected $outputsType = GoogleCloudAiplatformV1ExplanationMetadataOutputMetadata::class;
protected $outputsDataType = 'map';
/**
* Points to a YAML file stored on Google Cloud Storage describing the format
* of the feature attributions. The schema is defined as an OpenAPI 3.0.2
* [Schema Object](https://github.com/OAI/OpenAPI-
* Specification/blob/main/versions/3.0.2.md#schemaObject). AutoML tabular
* Models always have this field populated by Vertex AI. Note: The URI given
* on output may be different, including the URI scheme, than the one given on
* input. The output URI will point to a location where the user only has a
* read access.
*
* @param string $featureAttributionsSchemaUri
*/
public function setFeatureAttributionsSchemaUri($featureAttributionsSchemaUri)
{
$this->featureAttributionsSchemaUri = $featureAttributionsSchemaUri;
}
/**
* @return string
*/
public function getFeatureAttributionsSchemaUri()
{
return $this->featureAttributionsSchemaUri;
}
/**
* Required. Map from feature names to feature input metadata. Keys are the
* name of the features. Values are the specification of the feature. An empty
* InputMetadata is valid. It describes a text feature which has the name
* specified as the key in ExplanationMetadata.inputs. The baseline of the
* empty feature is chosen by Vertex AI. For Vertex AI-provided Tensorflow
* images, the key can be any friendly name of the feature. Once specified,
* featureAttributions are keyed by this key (if not grouped with another
* feature). For custom images, the key must match with the key in instance.
*
* @param GoogleCloudAiplatformV1ExplanationMetadataInputMetadata[] $inputs
*/
public function setInputs($inputs)
{
$this->inputs = $inputs;
}
/**
* @return GoogleCloudAiplatformV1ExplanationMetadataInputMetadata[]
*/
public function getInputs()
{
return $this->inputs;
}
/**
* Name of the source to generate embeddings for example based explanations.
*
* @param string $latentSpaceSource
*/
public function setLatentSpaceSource($latentSpaceSource)
{
$this->latentSpaceSource = $latentSpaceSource;
}
/**
* @return string
*/
public function getLatentSpaceSource()
{
return $this->latentSpaceSource;
}
/**
* Required. Map from output names to output metadata. For Vertex AI-provided
* Tensorflow images, keys can be any user defined string that consists of any
* UTF-8 characters. For custom images, keys are the name of the output field
* in the prediction to be explained. Currently only one key is allowed.
*
* @param GoogleCloudAiplatformV1ExplanationMetadataOutputMetadata[] $outputs
*/
public function setOutputs($outputs)
{
$this->outputs = $outputs;
}
/**
* @return GoogleCloudAiplatformV1ExplanationMetadataOutputMetadata[]
*/
public function getOutputs()
{
return $this->outputs;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1ExplanationMetadata::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1ExplanationMetadata');
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