- 1.73.0 (latest)
- 1.72.0
- 1.71.1
- 1.70.0
- 1.69.0
- 1.68.0
- 1.67.1
- 1.66.0
- 1.65.0
- 1.63.0
- 1.62.0
- 1.60.0
- 1.59.0
- 1.58.0
- 1.57.0
- 1.56.0
- 1.55.0
- 1.54.1
- 1.53.0
- 1.52.0
- 1.51.0
- 1.50.0
- 1.49.0
- 1.48.0
- 1.47.0
- 1.46.0
- 1.45.0
- 1.44.0
- 1.43.0
- 1.39.0
- 1.38.1
- 1.37.0
- 1.36.4
- 1.35.0
- 1.34.0
- 1.33.1
- 1.32.0
- 1.31.1
- 1.30.1
- 1.29.0
- 1.28.1
- 1.27.1
- 1.26.1
- 1.25.0
- 1.24.1
- 1.23.0
- 1.22.1
- 1.21.0
- 1.20.0
- 1.19.1
- 1.18.3
- 1.17.1
- 1.16.1
- 1.15.1
- 1.14.0
- 1.13.1
- 1.12.1
- 1.11.0
- 1.10.0
- 1.9.0
- 1.8.1
- 1.7.1
- 1.6.2
- 1.5.0
- 1.4.3
- 1.3.0
- 1.2.0
- 1.1.1
- 1.0.1
- 0.9.0
- 0.8.0
- 0.7.1
- 0.6.0
- 0.5.1
- 0.4.0
- 0.3.1
ParameterSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Represents a single parameter to optimize. .. attribute:: double_value_spec
The value spec for a 'DOUBLE' parameter.
:type: google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.DoubleValueSpec
Attributes
Name | Description |
integer_value_spec |
google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.IntegerValueSpec
The value spec for an 'INTEGER' parameter. |
categorical_value_spec |
google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.CategoricalValueSpec
The value spec for a 'CATEGORICAL' parameter. |
discrete_value_spec |
google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.DiscreteValueSpec
The value spec for a 'DISCRETE' parameter. |
parameter_id |
str
Required. The ID of the parameter. Must not contain whitespaces and must be unique amongst all ParameterSpecs. |
scale_type |
google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.ScaleType
How the parameter should be scaled. Leave unset for ``CATEGORICAL`` parameters. |
conditional_parameter_specs |
Sequence[google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.ConditionalParameterSpec]
A conditional parameter node is active if the parameter's value matches the conditional node's parent_value_condition. If two items in conditional_parameter_specs have the same name, they must have disjoint parent_value_condition. |
Inheritance
builtins.object > proto.message.Message > ParameterSpecClasses
CategoricalValueSpec
CategoricalValueSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Value specification for a parameter in CATEGORICAL
type.
.. attribute:: values
Required. The list of possible categories.
:type: Sequence[str]
ConditionalParameterSpec
ConditionalParameterSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Represents a parameter spec with condition from its parent parameter.
DiscreteValueSpec
DiscreteValueSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Value specification for a parameter in DISCRETE
type.
.. attribute:: values
Required. A list of possible values. The list should be in increasing order and at least 1e-10 apart. 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.
:type: Sequence[float]
DoubleValueSpec
DoubleValueSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Value specification for a parameter in DOUBLE
type.
.. attribute:: min_value
Required. Inclusive minimum value of the parameter.
:type: float
IntegerValueSpec
IntegerValueSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Value specification for a parameter in INTEGER
type.
.. attribute:: min_value
Required. Inclusive minimum value of the parameter.
:type: int
ScaleType
ScaleType(value)
The type of scaling that should be applied to this parameter.