Jan Motl

Permutation testing is slow. And it is generally not enough to run it just once. Hence, I wanted to: 1. narrow the scope of what is permutation tested in my...

I have projects to work on. If someone else would like to write the PR, go ahead.

Nice. Based on travis-ci, it is necessary to add 'RankHotEncoder' into `category_encoders/__init__.py`. But even after that, I got a few errors in `test_rankhot` on my computer. I suspect some versions...

Example: https://github.com/kmedian/thermoencoder

Go ahead.

I though that there is some standardized way. But I did not find any reference. Options: 1. Create a few abstract classes. And based on the inheritance we could learn...

I found it: https://scikit-learn.org/stable/developers/contributing.html#estimator-types

In that case it looks like you are the right person to discuss it. I am not picky about the used names or the exact mechanism in which it is...

Another useful metadato could be: - [ ] supports inverse transform This could help for example in `test_inverse_transform`

Good to know that we are aligned. The binary encoders can be extended to work on multiclass. But I would hesitate to call it easy. And I started to call...