📄 Source: GoogleCloudAiplatformV1SmoothGradConfig.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 GoogleCloudAiplatformV1SmoothGradConfig extends \Google\Model
{
protected $featureNoiseSigmaType = GoogleCloudAiplatformV1FeatureNoiseSigma::class;
protected $featureNoiseSigmaDataType = '';
/**
* This is a single float value and will be used to add noise to all the
* features. Use this field when all features are normalized to have the same
* distribution: scale to range [0, 1], [-1, 1] or z-scoring, where features
* are normalized to have 0-mean and 1-variance. Learn more about
* [normalization](https://developers.google.com/machine-learning/data-
* prep/transform/normalization). For best results the recommended value is
* about 10% - 20% of the standard deviation of the input feature. Refer to
* section 3.2 of the SmoothGrad paper: https://arxiv.org/pdf/1706.03825.pdf.
* Defaults to 0.1. If the distribution is different per feature, set
* feature_noise_sigma instead for each feature.
*
* @var float
*/
public $noiseSigma;
/**
* The number of gradient samples to use for approximation. The higher this
* number, the more accurate the gradient is, but the runtime complexity
* increases by this factor as well. Valid range of its value is [1, 50].
* Defaults to 3.
*
* @var int
*/
public $noisySampleCount;
/**
* This is similar to noise_sigma, but provides additional flexibility. A
* separate noise sigma can be provided for each feature, which is useful if
* their distributions are different. No noise is added to features that are
* not set. If this field is unset, noise_sigma will be used for all features.
*
* @param GoogleCloudAiplatformV1FeatureNoiseSigma $featureNoiseSigma
*/
public function setFeatureNoiseSigma(GoogleCloudAiplatformV1FeatureNoiseSigma $featureNoiseSigma)
{
$this->featureNoiseSigma = $featureNoiseSigma;
}
/**
* @return GoogleCloudAiplatformV1FeatureNoiseSigma
*/
public function getFeatureNoiseSigma()
{
return $this->featureNoiseSigma;
}
/**
* This is a single float value and will be used to add noise to all the
* features. Use this field when all features are normalized to have the same
* distribution: scale to range [0, 1], [-1, 1] or z-scoring, where features
* are normalized to have 0-mean and 1-variance. Learn more about
* [normalization](https://developers.google.com/machine-learning/data-
* prep/transform/normalization). For best results the recommended value is
* about 10% - 20% of the standard deviation of the input feature. Refer to
* section 3.2 of the SmoothGrad paper: https://arxiv.org/pdf/1706.03825.pdf.
* Defaults to 0.1. If the distribution is different per feature, set
* feature_noise_sigma instead for each feature.
*
* @param float $noiseSigma
*/
public function setNoiseSigma($noiseSigma)
{
$this->noiseSigma = $noiseSigma;
}
/**
* @return float
*/
public function getNoiseSigma()
{
return $this->noiseSigma;
}
/**
* The number of gradient samples to use for approximation. The higher this
* number, the more accurate the gradient is, but the runtime complexity
* increases by this factor as well. Valid range of its value is [1, 50].
* Defaults to 3.
*
* @param int $noisySampleCount
*/
public function setNoisySampleCount($noisySampleCount)
{
$this->noisySampleCount = $noisySampleCount;
}
/**
* @return int
*/
public function getNoisySampleCount()
{
return $this->noisySampleCount;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1SmoothGradConfig::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1SmoothGradConfig');
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