View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTimestampTransformation (google_api_ai_platform v0.13.0)

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.

Attributes

columnName (type: String.t, default: nil) -
invalidValuesAllowed (type: boolean(), default: nil) - 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.
timeFormat (type: String.t, default: nil) - 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)

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() ::
  %GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTimestampTransformation{
    columnName: String.t() | nil,
    invalidValuesAllowed: boolean() | nil,
    timeFormat: String.t() | nil
  }

Functions

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.