Interpretable ML

• SHAP
• Helper Functions
• Plot for the Blog Post
• Sources
• References

SHAP

Helper Functions

Plot for the Blog Post

Sources

• Hello This is a markdown page (missing reference)

• https://interpretable-ml-class.github.io/

• https://www.trustworthyml.org/
• https://christophm.github.io/interpretable-ml-book/
• https://web.stanford.edu/~hastie/Papers/pdp_zhao_final.pdf
• https://arxiv.org/abs/1811.10154
• https://www.youtube.com/watch?v=Q8rTrmqUQsU&list=PLtnewl6Gh3udJIG9w1EqHqqTG0tH0YSCx&index=27&t=1552s
• https://compstat-lmu.github.io/iml_methods_limitations/
• https://arxiv.org/pdf/2007.04131v1.pdf
• https://arxiv.org/pdf/1910.13413.pdf

• https://arxiv.org/pdf/2009.11698.pdf

• https://github.com/TeamHG-Memex/eli5

• https://github.com/oracle/Skater
• https://github.com/interpretml/interpret
• https://github.com/slundberg/shap
• https://github.com/Trusted-AI/AIF360
• https://github.com/jphall663/interpretable_machine_learning_with_python
• https://github.com/SeldonIO/alibi
• https://arxiv.org/abs/2010.09337

References