google_api_machine_learning v0.13.0 GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_IntegratedGradientsAttribution View Source

Attributes credit by computing the Aumann-Shapley value taking advantage of the model's fully differentiable structure. Refer to this paper for more details: http://proceedings.mlr.press/v70/sundararajan17a.html

Attributes

  • numIntegralSteps (type: integer(), default: nil) - Number of steps for approximating the path integral. A good value to start is 50 and gradually increase until the sum to diff property is met within the desired error range.

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Functions

Unwrap a decoded JSON object into its complex fields.

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t()

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t() ::
  %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_IntegratedGradientsAttribution{
    numIntegralSteps: integer()
  }

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decode(value, options)

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decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.