View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1TimestampSplit (google_api_ai_platform v0.13.0)

Assigns input data to training, validation, and test sets based on a provided timestamps. The youngest data pieces are assigned to training set, next to validation set, and the oldest to the test set. Supported only for tabular Datasets.

Attributes

key (type: String.t, default: nil) - Required. The key is a name of one of the Dataset's data columns. The values of the key (the values in the column) must be in RFC 3339 date-time format, where time-offset = "Z" (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not present or has an invalid value, that piece is ignored by the pipeline.
testFraction (type: float(), default: nil) - The fraction of the input data that is to be used to evaluate the Model.
trainingFraction (type: float(), default: nil) - The fraction of the input data that is to be used to train the Model.
validationFraction (type: float(), default: nil) - The fraction of the input data that is to be used to validate the Model.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() :: %GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1TimestampSplit{
  key: String.t() | nil,
  testFraction: float() | nil,
  trainingFraction: float() | nil,
  validationFraction: float() | nil
}

Functions

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.