google_api_big_query v0.2.0 GoogleApi.BigQuery.V2.Model.IterationResult View Source

Attributes

  • durationMs (String.t): [Output-only, Beta] Time taken to run the training iteration in milliseconds. Defaults to: null.
  • 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: null.
  • index (integer()): [Output-only, Beta] Index of the ML training iteration, starting from zero for each training run. Defaults to: null.
  • 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: null.
  • 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: null.

Link to this section Summary

Functions

Unwrap a decoded JSON object into its complex fields

Link to this section Types

Link to this type t() View Source
t() :: %GoogleApi.BigQuery.V2.Model.IterationResult{
  durationMs: any(),
  evalLoss: any(),
  index: any(),
  learnRate: any(),
  trainingLoss: any()
}

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.