Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTimestampTransformation
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTimestampTransformation
- 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 perform following transformation functions. * Apply the transformation functions for Numerical columns. * Determine the year, month, day,and weekday. Treat each value from the * timestamp as a Categorical column.
- Invalid numerical values (for example, values that fall outside of a typical timestamp range, or are extreme values) receive no special treatment and are not removed.
Instance Attribute Summary collapse
-
#column_name ⇒ String
Corresponds to the JSON property
columnName
. -
#invalid_values_allowed ⇒ Boolean
(also: #invalid_values_allowed?)
If invalid values is allowed, the training pipeline will create a boolean feature that indicated whether the value is valid.
-
#time_format ⇒ String
The format in which that time field is expressed.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTimestampTransformation
constructor
A new instance of GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTimestampTransformation.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTimestampTransformation
Returns a new instance of GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTimestampTransformation.
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29258 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 29237 def column_name @column_name end |
#invalid_values_allowed ⇒ Boolean Also known as: invalid_values_allowed?
If invalid values is allowed, the training pipeline will create a boolean
feature that indicated whether the value is valid. Otherwise, the training
pipeline will discard the input row from trainining data.
Corresponds to the JSON property invalidValuesAllowed
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29244 def invalid_values_allowed @invalid_values_allowed end |
#time_format ⇒ String
The format in which that time field is expressed. The time_format must either
be one of: * unix-seconds
* unix-milliseconds
* unix-microseconds
*
unix-nanoseconds
(for respectively number of seconds, milliseconds,
microseconds and nanoseconds since start of the Unix epoch); or be written in
strftime
syntax. If time_format is not set, then the default format is RFC
3339 date-time
format, where time-offset
= "Z"
(e.g. 1985-04-12T23:20:50.
52Z)
Corresponds to the JSON property timeFormat
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29256 def time_format @time_format 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 29263 def update!(**args) @column_name = args[:column_name] if args.key?(:column_name) @invalid_values_allowed = args[:invalid_values_allowed] if args.key?(:invalid_values_allowed) @time_format = args[:time_format] if args.key?(:time_format) end |