Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ParameterSpec Class Reference

Represents a single hyperparameter to optimize. More...

Inheritance diagram for Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ParameterSpec:

Properties
virtual System.Collections.Generic.IList< string >	CategoricalValues [get, set]
	Required if type is CATEGORICAL. The list of possible categories. More...
virtual System.Collections.Generic.IList< System.Nullable< double > >	DiscreteValues [get, set]
	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. More...
virtual System.Nullable< double >	MaxValue [get, set]
	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. More...
virtual System.Nullable< double >	MinValue [get, set]
	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. More...
virtual string	ParameterName [get, set]
	Required. The parameter name must be unique amongst all ParameterConfigs in a HyperparameterSpec message. E.g., "learning_rate". More...
virtual string	ScaleType [get, set]
	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). More...
virtual string	Type [get, set]
	Required. The type of the parameter. More...
virtual string	ETag [get, set]
	The ETag of the item. More...
Properties inherited from Google::Apis::Requests::IDirectResponseSchema
string	ETag

Detailed Description

Represents a single hyperparameter to optimize.

Property Documentation

CategoricalValues

virtual System.Collections.Generic.IList<string> Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ParameterSpec.CategoricalValues

getset

Required if type is CATEGORICAL. The list of possible categories.

DiscreteValues

virtual System.Collections.Generic.IList<System.Nullable<double> > Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ParameterSpec.DiscreteValues

getset

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.

ETag

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ParameterSpec.ETag

getset

The ETag of the item.

MaxValue

virtual System.Nullable<double> Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ParameterSpec.MaxValue

getset

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.

MinValue

virtual System.Nullable<double> Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ParameterSpec.MinValue

getset

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.

ParameterName

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ParameterSpec.ParameterName

getset

Required. The parameter name must be unique amongst all ParameterConfigs in a HyperparameterSpec message. E.g., "learning_rate".

ScaleType

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ParameterSpec.ScaleType

getset

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).

Type

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ParameterSpec.Type

getset

Required. The type of the parameter.

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The documentation for this class was generated from the following file:

• Google.Apis.CloudMachineLearningEngine.v1.cs