Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsTransformationAutoTransformation
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsTransformationAutoTransformation
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb
Overview
Training pipeline will infer the proper transformation based on the statistic of dataset.
Instance Attribute Summary collapse
-
#column_name ⇒ String
Corresponds to the JSON property
columnName
.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsTransformationAutoTransformation
constructor
A new instance of GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsTransformationAutoTransformation.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsTransformationAutoTransformation
Returns a new instance of GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsTransformationAutoTransformation.
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30558 def initialize(**args) update!(**args) end |
Instance Attribute Details
#column_name ⇒ String
Corresponds to the JSON property columnName
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30556 def column_name @column_name end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30563 def update!(**args) @column_name = args[:column_name] if args.key?(:column_name) end |