https://github.com/kmedian/onehot

One-Hot encoder with sklearn-ish API interface that process mixed string and numeric labels directly.
https://github.com/kmedian/onehot

feature-engineering onehot pypi sklearn sklearn-compatible

Last synced: about 1 month ago
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One-Hot encoder with sklearn-ish API interface that process mixed string and numeric labels directly.

• Host: GitHub
• URL: https://github.com/kmedian/onehot
• Owner: kmedian
• License: mit
• Created: 2018-10-24T23:43:26.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-10-25T10:05:12.000Z (about 5 years ago)
• Last Synced: 2024-04-24T16:24:40.157Z (7 months ago)
• Topics: feature-engineering, onehot, pypi, sklearn, sklearn-compatible
• Language: Python
• Size: 104 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.md
  • License: LICENSE

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# onehot.OneHotDummy

One-Hot encoder with sklearn-ish API interface that process mixed string and numeric labels directly.

[onehot.OneHotDummy](onehot/onehotdummy_class.py) does basically the same as [LabelEncoder](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) and [OneHotEncoder](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html) combined. It is also inspired by [pandas.get_dummies](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.get_dummies.html) and in particular its ease of use. 

## Table of Contents

* [Installation](#installation)

* [Usage](#usage)

* [Commands](#commands)

* [Support](#support)

* [Contributing](#contributing)

## Installation

The `onehot` [git repo](http://github.com/kmedian/onehot) is available as [PyPi package](https://pypi.org/project/onehot)

```

pip install onehot

```

## Usage

Check the [examples](examples) folder for notebooks.

## Commands

* Check syntax: `flake8 --ignore=F401`

* Remove `.pyc` files: `find . -type f -name "*.pyc" | xargs rm`

* Remove `__pycache__` folders: `find . -type d -name "__pycache__" | xargs rm -rf`

* Upload to PyPi: `python setup.py sdist upload -r pypi`

* Upload to PyPi with twine: `python setup.py sdist && twine upload -r pypi dist/*`

## Debugging

* Notebooks to profile python code are in the [profile](profile) folder

## Support

Please [open an issue](https://github.com/kmedian/onehot/issues/new) for support.

## Contributing

Please contribute using [Github Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and [open a pull request](https://github.com/kmedian/onehot/compare/).