categorical_encoding
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alteryx
Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
Bumps [nbconvert](https://github.com/jupyter/nbconvert) from 5.5.0 to 6.5.1. Release notes Sourced from nbconvert's releases. Release 6.5.1 No release notes provided. 6.5.0 What's Changed Drop dependency on testpath. by @anntzer in jupyter/nbconvert#1723 Adopt...
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Bumps [codecov](https://github.com/codecov/codecov-python) from 2.0.15 to 2.0.16. Changelog Sourced from codecov's changelog. 2.0.16 fixed reported command injection vulnerability. Commits 3a8b06b Version 2.0.16 b2951c0 Merge pull request #231 from codecov/ce-1380 2a80aa4 CE-1380_sanitize_args...
Release new version (1.0.0?) that is compatible with Featuretools 1.0.0. This should be released before Featuretools, making sure to set the Featuretools version to >=1.0.0 in requirements.txt to prevent installation...
- This add-on library should updated with the new function calls, parameters, and the accessor approach. - For example, the OneHotEncodng here: https://github.com/alteryx/categorical_encoding/blob/597fa91259a94f94e5e38804cfd751d96616b946/categorical_encoding/primitives/one_hot_enc.py
Implements changes for compatibility with Featuretools 1.0.0 This PR should not be merged until Featuretools 1.0.0 is being released.
- We should tests that categorical encoding supports Python 3.6, 3.7, 3.8, and 3.9 - Once it does, we should update setup.py
Is there a place where I can look at the API documentation for this package? I tried in the featurelabs API doc `https://featuretools.alteryx.com/en/stable/api_reference.html`, but could not find anything related to...
Docker Hub is adding rate limits that may impact Circle CI users in the future - [circle ci article](https://support.circleci.com/hc/en-us/articles/360050623311-Docker-Hub-rate-limiting-FAQ). Example PR: https://github.com/FeatureLabs/nlp_primitives/pull/44
**Problem (dataframe having)** index weekday 0 Sunday 1 Sunday 2 Wednesday 3 Monday 4 Monday 5 Thursday 6 Tuesday _____ **After encoding :-** index weekday 0 3 1 3 2...
do you have code example how to do one hot encoding for test data in order to be in synch/match with train data something like this http://fastml.com/how-to-use-pd-dot-get-dummies-with-the-test-set/
