Hello, I found this project last week, and thanks for all of these work.
I installed Hummingbird-ml==0.47 by pip, and I want to know which version of sklearn should I use.
I want to use one-hot encoder of sklearn to preprocess my categorical features, but the result's dim of sklearn is different from the dim of converted pytorch model. For sklearn, 15 features -> 69 dim，but for converted pytorch mdoel, 15 features -> 76 dim.
After my check, I'm sure the problem is the argument of sklearn's OneHotEncoder:
Changed in version 1.1: 'infrequent_if_exist' was added to automatically handle unknown categories and infrequent categories.
Is there any way to solve this problem？Thanks for any solution!
Hello, I found this project last week, and thanks for all of these work.
I installed
Hummingbird-ml==0.47by pip, and I want to know which version of sklearn should I use.I want to use one-hot encoder of sklearn to preprocess my categorical features, but the result's dim of sklearn is different from the dim of converted pytorch model. For sklearn, 15 features -> 69 dim，but for converted pytorch mdoel, 15 features -> 76 dim.
After my check, I'm sure the problem is the argument of sklearn's OneHotEncoder:
Is there any way to solve this problem？Thanks for any solution!