View Source GoogleApi.Language.V2.Model.XPSTablesClassificationMetricsCurveMetrics (google_api_language v0.16.1)

Metrics 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

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@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
}

Functions

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.