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

Evaluation metrics for regression and explicit feedback type matrix factorization models.

Attributes

meanAbsoluteError (type: float(), default: nil) - Mean absolute error.
meanSquaredError (type: float(), default: nil) - Mean squared error.
meanSquaredLogError (type: float(), default: nil) - Mean squared log error.
medianAbsoluteError (type: float(), default: nil) - Median absolute error.
rSquared (type: float(), default: nil) - R^2 score.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

Specs

t() :: %GoogleApi.BigQuery.V2.Model.RegressionMetrics{
  meanAbsoluteError: float(),
  meanSquaredError: float(),
  meanSquaredLogError: float(),
  medianAbsoluteError: float(),
  rSquared: float()
}

Functions

decode(value, options)

Specs

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

Unwrap a decoded JSON object into its complex fields.