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
-
#categorical_values ⇒ Array<String>
Required if type is
CATEGORICAL
. -
#discrete_values ⇒ Array<Float>
Required if type is
DISCRETE
. -
#max_value ⇒ Float
Required if type is
DOUBLE
orINTEGER
. -
#min_value ⇒ Float
Required if type is
DOUBLE
orINTEGER
. -
#parameter_name ⇒ String
Required.
-
#scale_type ⇒ String
Optional.
-
#type ⇒ String
Required.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudMlV1ParameterSpec
constructor
A new instance of GoogleCloudMlV1ParameterSpec.
-
#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.
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# File 'generated/google/apis/ml_v1/classes.rb', line 1078 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
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# File 'generated/google/apis/ml_v1/classes.rb', line 1034 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
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# File 'generated/google/apis/ml_v1/classes.rb', line 1043 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
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# File 'generated/google/apis/ml_v1/classes.rb', line 1050 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
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# File 'generated/google/apis/ml_v1/classes.rb', line 1057 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
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# File 'generated/google/apis/ml_v1/classes.rb', line 1063 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
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# File 'generated/google/apis/ml_v1/classes.rb', line 1071 def scale_type @scale_type end |
#type ⇒ String
Required. The type of the parameter.
Corresponds to the JSON property type
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# File 'generated/google/apis/ml_v1/classes.rb', line 1076 def type @type end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'generated/google/apis/ml_v1/classes.rb', line 1083 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 |