Status Updates From Interpretable Machine Learn...

The alibi package is amazing, i like the CounterFactualProto and AnchorTabular which provides statements and human-readable rules to explain "what if" on what change in the input will cause either model's output to change, the CEM is also pretty nice. The theory behind CounterFactualProto/CEM/AnchorTabular are also quite amazing and interesting to learn

Finish the ALE and SHAP dependency plot and summary plot, pretty useful visualization on the global surrogate model for understanding the effect of one or more interactive features, as well as how change of feature values affect the model prediction

The book contains some fundamental materials for IML. but there are a number of mistakes and typos in the book. Therefore beginner ML practitioner be warned. For ML experts, basically the first few chapters in the first section can be totally skipped. I quite like the PFI/PDP/ICE illustration in chapter although they are familiar concepts for IML. I personally look forward to chapter 11 and 12

The book contains some fundamental materials for IML. but there are a number of mistakes and typos in the book. Therefore beginner ML practitioner be warned. For ML experts, basically the first few chapters in the first section can be totally skipped. I quite like the PFI/PDF illustration in chapter although they are a familiar concept. I personally look forward to chapter 11 and 12

The book contains some fundamental materials for IML. but there are a number of mistakes and typos in the book. Therefore beginner ML practitioner be warned. For ML experts, basically the first few chapters in the first section can be totally skipped. I quite like the PFI across model illustration in chapter although PFI is a familiar concept. I personally look forward to chapter 11 and 12

The book contains some fundamental materials for IML. but there are noticeable number of mistakes and typos in the book. Therefore beginner ML practitioner be warned. For ML experts, basically the first few chapters can total skipped. I personally look forward to chapter 11 and 12

The book contains some fundamental materials for IML. but there are noticeable number of mistakes and typos in the book. Therefore beginner ML practitioner be warned. For ML experts, basically the first few chapters can total skipped. I personally look forward to chapter 11 and 12