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)