View Source GoogleApi.Language.V1.Model.XPSRegressionEvaluationMetrics (google_api_language v0.16.1)

Model evaluation metrics for regression problems. It can be used for Tables.

Attributes

meanAbsoluteError (type: number(), default: nil) - Mean Absolute Error (MAE).
meanAbsolutePercentageError (type: number(), default: nil) - Mean absolute percentage error. Only set if all ground truth values are positive.
rSquared (type: number(), 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: number(), default: nil) - Root Mean Squared Error (RMSE).
rootMeanSquaredLogError (type: number(), default: nil) - Root mean squared log error.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

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

Functions

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.