GoogleApi.BigQuery.V2.Model.RegressionMetrics (google_api_big_query v0.63.0) View Source

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. This corresponds to r2_score in ML.EVALUATE.

Link to this section Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Link to this section Types

t()

Specs

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

Link to this section Functions

decode(value, options)

Specs

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

Unwrap a decoded JSON object into its complex fields.