Class: Google::Apis::MlV1::GoogleCloudMlV1ParameterSpec
- Inherits:
- 
      Object
      
        - Object
- Google::Apis::MlV1::GoogleCloudMlV1ParameterSpec
 
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- generated/google/apis/ml_v1/classes.rb,
 generated/google/apis/ml_v1/representations.rb,
 generated/google/apis/ml_v1/representations.rb
Overview
Represents a single hyperparameter to optimize.
Instance Attribute Summary collapse
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      #categorical_values  ⇒ Array<String> 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    Required if type is CATEGORICAL.
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      #discrete_values  ⇒ Array<Float> 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    Required if type is DISCRETE.
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      #max_value  ⇒ Float 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    Required if type is DOUBLEorINTEGER.
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      #min_value  ⇒ Float 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    Required if type is DOUBLEorINTEGER.
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      #parameter_name  ⇒ String 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    Required. 
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      #scale_type  ⇒ String 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    Optional. 
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      #type  ⇒ String 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    Required. 
Instance Method Summary collapse
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      #initialize(**args)  ⇒ GoogleCloudMlV1ParameterSpec 
    
    
  
  
  
    constructor
  
  
  
  
  
  
  
    A new instance of GoogleCloudMlV1ParameterSpec. 
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      #update!(**args)  ⇒ Object 
    
    
  
  
  
  
  
  
  
  
  
    Update properties of this object. 
Methods included from Core::JsonObjectSupport
Methods included from Core::Hashable
Constructor Details
#initialize(**args) ⇒ GoogleCloudMlV1ParameterSpec
Returns a new instance of GoogleCloudMlV1ParameterSpec
| 775 776 777 | # File 'generated/google/apis/ml_v1/classes.rb', line 775 def initialize(**args) update!(**args) end | 
Instance Attribute Details
#categorical_values ⇒ Array<String>
Required if type is CATEGORICAL. The list of possible categories.
Corresponds to the JSON property categoricalValues
| 731 732 733 | # File 'generated/google/apis/ml_v1/classes.rb', line 731 def categorical_values @categorical_values end | 
#discrete_values ⇒ Array<Float>
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.
Corresponds to the JSON property discreteValues
| 740 741 742 | # File 'generated/google/apis/ml_v1/classes.rb', line 740 def discrete_values @discrete_values end | 
#max_value ⇒ Float
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.
Corresponds to the JSON property maxValue
| 747 748 749 | # File 'generated/google/apis/ml_v1/classes.rb', line 747 def max_value @max_value end | 
#min_value ⇒ Float
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.
Corresponds to the JSON property minValue
| 754 755 756 | # File 'generated/google/apis/ml_v1/classes.rb', line 754 def min_value @min_value end | 
#parameter_name ⇒ String
Required. The parameter name must be unique amongst all ParameterConfigs in
a HyperparameterSpec message. E.g., "learning_rate".
Corresponds to the JSON property parameterName
| 760 761 762 | # File 'generated/google/apis/ml_v1/classes.rb', line 760 def parameter_name @parameter_name end | 
#scale_type ⇒ String
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).
Corresponds to the JSON property scaleType
| 768 769 770 | # File 'generated/google/apis/ml_v1/classes.rb', line 768 def scale_type @scale_type end | 
#type ⇒ String
Required. The type of the parameter.
Corresponds to the JSON property type
| 773 774 775 | # File 'generated/google/apis/ml_v1/classes.rb', line 773 def type @type end | 
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
| 780 781 782 783 784 785 786 787 788 | # File 'generated/google/apis/ml_v1/classes.rb', line 780 def update!(**args) @categorical_values = args[:categorical_values] if args.key?(:categorical_values) @discrete_values = args[:discrete_values] if args.key?(:discrete_values) @max_value = args[:max_value] if args.key?(:max_value) @min_value = args[:min_value] if args.key?(:min_value) @parameter_name = args[:parameter_name] if args.key?(:parameter_name) @scale_type = args[:scale_type] if args.key?(:scale_type) @type = args[:type] if args.key?(:type) end |