View Source GoogleApi.Language.V1.Model.XPSTablesRegressionMetrics (google_api_language v0.16.0)

Metrics for Tables regression problems.

Attributes

  • meanAbsoluteError (type: float(), default: nil) - Mean absolute error.
  • meanAbsolutePercentageError (type: float(), default: nil) - Mean absolute percentage error, only set if all of the target column's values are positive.
  • rSquared (type: float(), default: nil) - R squared.
  • regressionMetricsEntries (type: list(GoogleApi.Language.V1.Model.XPSRegressionMetricsEntry.t), default: nil) - A list of actual versus predicted points for the model being evaluated.
  • rootMeanSquaredError (type: float(), default: nil) - Root mean squared error.
  • rootMeanSquaredLogError (type: float(), default: nil) - Root mean squared log error.

Summary

Functions

Unwrap a decoded JSON object into its complex fields.

Types

@type t() :: %GoogleApi.Language.V1.Model.XPSTablesRegressionMetrics{
  meanAbsoluteError: float() | nil,
  meanAbsolutePercentageError: float() | nil,
  rSquared: float() | nil,
  regressionMetricsEntries:
    [GoogleApi.Language.V1.Model.XPSRegressionMetricsEntry.t()] | nil,
  rootMeanSquaredError: float() | nil,
  rootMeanSquaredLogError: float() | nil
}

Functions

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.