google_api_big_query

v0.12.0

google_api_big_query v0.12.0 GoogleApi.BigQuery.V2.Model.BqmlIterationResult View Source

Attributes

  • durationMs (String.t): [Output-only, Beta] Time taken to run the training iteration in milliseconds. Defaults to nil.
  • evalLoss (float()): [Output-only, Beta] Eval loss computed on the eval data at the end of the iteration. The eval loss is used for early stopping to avoid overfitting. No eval loss if eval_split_method option is specified as no_split or auto_split with input data size less than 500 rows. Defaults to nil.
  • index (integer()): [Output-only, Beta] Index of the ML training iteration, starting from zero for each training run. Defaults to nil.
  • learnRate (float()): [Output-only, Beta] Learning rate used for this iteration, it varies for different training iterations if learn_rate_strategy option is not constant. Defaults to nil.
  • trainingLoss (float()): [Output-only, Beta] Training loss computed on the training data at the end of the iteration. The training loss function is defined by model type. Defaults to nil.

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Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

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Link to this type

t() View Source 
t() :: %GoogleApi.BigQuery.V2.Model.BqmlIterationResult{
  durationMs: String.t(),
  evalLoss: float(),
  index: integer(),
  learnRate: float(),
  trainingLoss: float()
}

Link to this section Functions

Link to this function

decode(value, options) View Source 
decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.