GoogleApi.BigQuery.V2.Model.BqmlIterationResult (google_api_big_query v0.46.0)

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.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

Specs

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

Functions

decode(value, options)

Specs

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

Unwrap a decoded JSON object into its complex fields.