google_api_big_query v0.8.0 GoogleApi.BigQuery.V2.Model.BinaryConfusionMatrix View Source

Confusion matrix for binary classification models.

Attributes

  • falseNegatives (String.t): Number of false samples predicted as false. Defaults to: null.
  • falsePositives (String.t): Number of false samples predicted as true. Defaults to: null.
  • positiveClassThreshold (float()): Threshold value used when computing each of the following metric. Defaults to: null.
  • precision (float()): Aggregate precision. Defaults to: null.
  • recall (float()): Aggregate recall. Defaults to: null.
  • trueNegatives (String.t): Number of true samples predicted as false. Defaults to: null.
  • truePositives (String.t): Number of true samples predicted as true. Defaults to: null.

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Functions

Unwrap a decoded JSON object into its complex fields.

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t() View Source
t() :: %GoogleApi.BigQuery.V2.Model.BinaryConfusionMatrix{
  falseNegatives: any(),
  falsePositives: any(),
  positiveClassThreshold: any(),
  precision: any(),
  recall: any(),
  trueNegatives: any(),
  truePositives: any()
}

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decode(value, options) View Source
decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.