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Create functional tests for all V1 Explainability scenarios #2573

@rogancarr

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@rogancarr

As laid out in #2498 , we need scenarios to cover the TensorFlow functionality we want fully supported in V1.

  • I can get near-free (local) feature importance for scored examples (Feature Contributions)
  • I can view the overall importance of each feature (Permutation Feature Importance, GetFeatureWeights)
  • I can train interpretable models (linear model, GAM)
  • I can view how much each feature contributed to each prediction for trees and linear models (Feature Contributions)      

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