View Source GoogleApi.Language.V1.Model.XPSTablesRegressionMetrics (google_api_language v0.15.0)
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
Unwrap a decoded JSON object into its complex fields.