category_encoders
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scikit-learn-contrib
A library of sklearn compatible categorical variable encoders
Implement Rank-Hot Encoder for ordinal features as described at https://scottclowe.com/2016-03-05-rank-hot-encoder/
Installing the package through conda-forge for conda (based on python 3.6) broken anaconda permanently , investigating the issue reveals that it automatically update python from 3.6 to 3.7 and not...
It looks like it is necessary to switch from CircleCI 1.0 to CircleCI 2.0 configuration file.
In [this guide](https://www.kaggle.com/discdiver/category-encoders-examples/notebook#Contrast-Encoders) for categorical encoding, it has the following example: ```py import numpy as np import pandas as pd # version 0.23.4 import category_encoders as ce # version 1.2.8...
I don't believe I saw it, but does this library currently handle this sort of data? The simplest example I can think of is items in a shopping cart. Order...
I hope this is a reasonable place to post this question. Is there a version of hashing where the resulting hashed value could be some combination of binary columns? For...
It's not really clear to me what the difference between TargetEncoder and LeaveOneOutEncoder, as both encode using the target with leave-one-out. Can you maybe clarify and clarify this in the...
How would you encode high cardinality categorical variables if the target variable is another high cardinality categorical variable? Can not use OneHotEncoding because of high cardinality. Can not use LabelEncoding...
Inverse_transform should ideally handle absence of the columns dropped because of `drop_invariant=True`. But if it is not possible, `inverse_transform()` should at least return the correct error message instead of just...
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A library of sklearn compatible categorical variable encoders