GoogleApi.BigQuery.V2.Model.BqmlIterationResult (google_api_big_query v0.71.0) View Source

Attributes

  • durationMs (type: String.t, default: nil) - [Output-only, Beta] Time taken to run the training iteration in milliseconds.
  • evalLoss (type: float(), default: nil) - [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.
  • index (type: integer(), default: nil) - [Output-only, Beta] Index of the ML training iteration, starting from zero for each training run.
  • learnRate (type: float(), default: nil) - [Output-only, Beta] Learning rate used for this iteration, it varies for different training iterations if learn_rate_strategy option is not constant.
  • trainingLoss (type: float(), default: nil) - [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.

Link to this section Summary

Functions

Unwrap a decoded JSON object into its complex fields.

Link to this section Types

Specs

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

Link to this section Functions

Specs

decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.