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

Information about a single iteration of the training run.

Attributes

arimaResult (type: GoogleApi.BigQuery.V2.Model.ArimaResult.t, default: nil) -
clusterInfos (type: list(GoogleApi.BigQuery.V2.Model.ClusterInfo.t), default: nil) - Information about top clusters for clustering models.
durationMs (type: String.t, default: nil) - Time taken to run the iteration in milliseconds.
evalLoss (type: float(), default: nil) - Loss computed on the eval data at the end of iteration.
index (type: integer(), default: nil) - Index of the iteration, 0 based.
learnRate (type: float(), default: nil) - Learn rate used for this iteration.
trainingLoss (type: float(), default: nil) - Loss computed on the training data at the end of iteration.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

Specs

t() :: %GoogleApi.BigQuery.V2.Model.IterationResult{
  arimaResult: GoogleApi.BigQuery.V2.Model.ArimaResult.t(),
  clusterInfos: [GoogleApi.BigQuery.V2.Model.ClusterInfo.t()],
  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.