GoogleApi.BigQuery.V2.Model.IterationResult (google_api_big_query v0.56.0) View Source
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. -
principalComponentInfos
(type:list(GoogleApi.BigQuery.V2.Model.PrincipalComponentInfo.t)
, default:nil
) - The information of the principal components. -
trainingLoss
(type:float()
, default:nil
) - Loss computed on the training data at the end of iteration.
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.IterationResult{ arimaResult: GoogleApi.BigQuery.V2.Model.ArimaResult.t(), clusterInfos: [GoogleApi.BigQuery.V2.Model.ClusterInfo.t()], durationMs: String.t(), evalLoss: float(), index: integer(), learnRate: float(), principalComponentInfos: [ GoogleApi.BigQuery.V2.Model.PrincipalComponentInfo.t() ], trainingLoss: float() }
Link to this section Functions
Specs
Unwrap a decoded JSON object into its complex fields.