📄 Source: GoogleCloudMlV1ParameterSpec.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\CloudMachineLearningEngine;
class GoogleCloudMlV1ParameterSpec extends \Google\Collection
{
/**
* By default, no scaling is applied.
*/
public const SCALE_TYPE_NONE = 'NONE';
/**
* Scales the feasible space to (0, 1) linearly.
*/
public const SCALE_TYPE_UNIT_LINEAR_SCALE = 'UNIT_LINEAR_SCALE';
/**
* Scales the feasible space logarithmically to (0, 1). The entire feasible
* space must be strictly positive.
*/
public const SCALE_TYPE_UNIT_LOG_SCALE = 'UNIT_LOG_SCALE';
/**
* Scales the feasible space "reverse" logarithmically to (0, 1). The result
* is that values close to the top of the feasible space are spread out more
* than points near the bottom. The entire feasible space must be strictly
* positive.
*/
public const SCALE_TYPE_UNIT_REVERSE_LOG_SCALE = 'UNIT_REVERSE_LOG_SCALE';
/**
* You must specify a valid type. Using this unspecified type will result in
* an error.
*/
public const TYPE_PARAMETER_TYPE_UNSPECIFIED = 'PARAMETER_TYPE_UNSPECIFIED';
/**
* Type for real-valued parameters.
*/
public const TYPE_DOUBLE = 'DOUBLE';
/**
* Type for integral parameters.
*/
public const TYPE_INTEGER = 'INTEGER';
/**
* The parameter is categorical, with a value chosen from the categories
* field.
*/
public const TYPE_CATEGORICAL = 'CATEGORICAL';
/**
* The parameter is real valued, with a fixed set of feasible points. If
* `type==DISCRETE`, feasible_points must be provided, and {`min_value`,
* `max_value`} will be ignored.
*/
public const TYPE_DISCRETE = 'DISCRETE';
protected $collection_key = 'discreteValues';
/**
* Required if type is `CATEGORICAL`. The list of possible categories.
*
* @var string[]
*/
public $categoricalValues;
/**
* Required if type is `DISCRETE`. A list of feasible points. The list should
* be in strictly increasing order. For instance, this parameter might have
* possible settings of 1.5, 2.5, and 4.0. This list should not contain more
* than 1,000 values.
*
* @var []
*/
public $discreteValues;
/**
* Required if type is `DOUBLE` or `INTEGER`. This field should be unset if
* type is `CATEGORICAL`. This value should be integers if type is `INTEGER`.
*
* @var
*/
public $maxValue;
/**
* Required if type is `DOUBLE` or `INTEGER`. This field should be unset if
* type is `CATEGORICAL`. This value should be integers if type is INTEGER.
*
* @var
*/
public $minValue;
/**
* Required. The parameter name must be unique amongst all ParameterConfigs in
* a HyperparameterSpec message. E.g., "learning_rate".
*
* @var string
*/
public $parameterName;
/**
* Optional. How the parameter should be scaled to the hypercube. Leave unset
* for categorical parameters. Some kind of scaling is strongly recommended
* for real or integral parameters (e.g., `UNIT_LINEAR_SCALE`).
*
* @var string
*/
public $scaleType;
/**
* Required. The type of the parameter.
*
* @var string
*/
public $type;
/**
* Required if type is `CATEGORICAL`. The list of possible categories.
*
* @param string[] $categoricalValues
*/
public function setCategoricalValues($categoricalValues)
{
$this->categoricalValues = $categoricalValues;
}
/**
* @return string[]
*/
public function getCategoricalValues()
{
return $this->categoricalValues;
}
public function setDiscreteValues($discreteValues)
{
$this->discreteValues = $discreteValues;
}
public function getDiscreteValues()
{
return $this->discreteValues;
}
public function setMaxValue($maxValue)
{
$this->maxValue = $maxValue;
}
public function getMaxValue()
{
return $this->maxValue;
}
public function setMinValue($minValue)
{
$this->minValue = $minValue;
}
public function getMinValue()
{
return $this->minValue;
}
/**
* Required. The parameter name must be unique amongst all ParameterConfigs in
* a HyperparameterSpec message. E.g., "learning_rate".
*
* @param string $parameterName
*/
public function setParameterName($parameterName)
{
$this->parameterName = $parameterName;
}
/**
* @return string
*/
public function getParameterName()
{
return $this->parameterName;
}
/**
* Optional. How the parameter should be scaled to the hypercube. Leave unset
* for categorical parameters. Some kind of scaling is strongly recommended
* for real or integral parameters (e.g., `UNIT_LINEAR_SCALE`).
*
* Accepted values: NONE, UNIT_LINEAR_SCALE, UNIT_LOG_SCALE,
* UNIT_REVERSE_LOG_SCALE
*
* @param self::SCALE_TYPE_* $scaleType
*/
public function setScaleType($scaleType)
{
$this->scaleType = $scaleType;
}
/**
* @return self::SCALE_TYPE_*
*/
public function getScaleType()
{
return $this->scaleType;
}
/**
* Required. The type of the parameter.
*
* Accepted values: PARAMETER_TYPE_UNSPECIFIED, DOUBLE, INTEGER, CATEGORICAL,
* DISCRETE
*
* @param self::TYPE_* $type
*/
public function setType($type)
{
$this->type = $type;
}
/**
* @return self::TYPE_*
*/
public function getType()
{
return $this->type;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudMlV1ParameterSpec::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ParameterSpec');
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