GoogleApi.Language.V2.Model.XPSTablesClassificationMetricsCurveMetrics (google_api_language v0.16.3)
View SourceMetrics curve data point for a single value.
Attributes
-
aucPr
(type:float()
, default:nil
) - The area under the precision-recall curve. -
aucRoc
(type:float()
, default:nil
) - The area under receiver operating characteristic curve. -
confidenceMetricsEntries
(type:list(GoogleApi.Language.V2.Model.XPSTablesConfidenceMetricsEntry.t)
, default:nil
) - Metrics that have confidence thresholds. Precision-recall curve and ROC curve can be derived from them. -
logLoss
(type:float()
, default:nil
) - The Log loss metric. -
positionThreshold
(type:integer()
, default:nil
) - The position threshold value used to compute the metrics. -
value
(type:String.t
, default:nil
) - The CATEGORY row value (for ARRAY unnested) the curve metrics are for.
Summary
Functions
Unwrap a decoded JSON object into its complex fields.
Types
@type t() :: %GoogleApi.Language.V2.Model.XPSTablesClassificationMetricsCurveMetrics{ aucPr: float() | nil, aucRoc: float() | nil, confidenceMetricsEntries: [GoogleApi.Language.V2.Model.XPSTablesConfidenceMetricsEntry.t()] | nil, logLoss: float() | nil, positionThreshold: integer() | nil, value: String.t() | nil }