https://github.com/kmedian/pctl_scale

Scale a variable into an open interval (0,1) whereas values within a given lower and upper percentile maintain a linear relation, and outlier saturate towards the interval limits.
https://github.com/kmedian/pctl_scale

feature-engineering pypi sklearn sklearn-compatible

Last synced: 2 days ago
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Scale a variable into an open interval (0,1) whereas values within a given lower and upper percentile maintain a linear relation, and outlier saturate towards the interval limits.

• Host: GitHub
• URL: https://github.com/kmedian/pctl_scale
• Owner: kmedian
• License: mit
• Created: 2018-10-22T09:37:11.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-08-22T10:49:31.000Z (about 5 years ago)
• Last Synced: 2024-11-08T17:17:34.389Z (8 days ago)
• Topics: feature-engineering, pypi, sklearn, sklearn-compatible
• Language: Python
• Size: 56.6 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.md
  • License: LICENSE

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# pctl_scale

Scale a variable into an open interval (0,1) whereas values within a given lower and upper percentile maintain a linear relation, and outlier saturate towards the interval limits.

This scaling functions was developed with **ratio-scale** data in mind 

(i.e. it has a natural zero value).

## Table of Contents

* [Installation](#installation)

* [Usage](#usage)

* [Commands](#commands)

* [Support](#support)

* [Contributing](#contributing)

## Installation

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

```

pip install pctl_scale

```

## Usage

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

## Commands

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

* Run Unit Tests: `python -W ignore -m unittest discover`

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

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

* 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/pctl_scale/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/pctl_scale/compare/).