GoogleApi.Language.V2.Model.XPSTextSentimentEvaluationMetrics (google_api_language v0.16.3)

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Model evaluation metrics for text sentiment problems.

Attributes

  • confusionMatrix (type: GoogleApi.Language.V2.Model.XPSConfusionMatrix.t, default: nil) - Output only. Confusion matrix of the evaluation. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
  • f1Score (type: number(), default: nil) - Output only. The harmonic mean of recall and precision.
  • linearKappa (type: number(), default: nil) - Output only. Linear weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
  • meanAbsoluteError (type: number(), default: nil) - Output only. Mean absolute error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
  • meanSquaredError (type: number(), default: nil) - Output only. Mean squared error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
  • precision (type: number(), default: nil) - Output only. Precision.
  • quadraticKappa (type: number(), default: nil) - Output only. Quadratic weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
  • recall (type: number(), default: nil) - Output only. Recall.

Summary

Functions

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() :: %GoogleApi.Language.V2.Model.XPSTextSentimentEvaluationMetrics{
  confusionMatrix: GoogleApi.Language.V2.Model.XPSConfusionMatrix.t() | nil,
  f1Score: number() | nil,
  linearKappa: number() | nil,
  meanAbsoluteError: number() | nil,
  meanSquaredError: number() | nil,
  precision: number() | nil,
  quadraticKappa: number() | nil,
  recall: number() | nil
}

Functions

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.