christophM / interpretable-ml-book

Book about interpretable machine learning
https://christophm.github.io/interpretable-ml-book/
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Formula used to upweight the loss of a training instance is slightly different from the original paper #321

Open ec0github opened 2 years ago

ec0github commented 2 years ago

The new model parameters obtained by upweight the loss of a training instance in the book is:

Screenshot 2022-04-15 at 14 03 11

However, the same formula in the original paper is:

Screenshot 2022-04-15 at 14 08 02

They are very similar except one difference. The original formula is to upweight the select instance by ϵ but the formula in the book is to down-weight all the other instance except the selected one by (1 - ϵ). It seems both have the similar purpose but I am interested to know the reason behind the change. Regards, Eric

Ericwst commented 2 years ago

已收到您的邮件!谢谢!