MultiLabel-Transformer

MultiLabel-Transformer is an extended version of a LabelEncode, such that, it encodes multiple categorical columns to numeric in any workflow or pipeline. It was built upon Sciki-learn and distributed under the GPL-3.0 License.

Content

• Installation Dependencies
• Installation
• How To Use
• Development
• Contributing
• Help and Support
• Acknowedgement

Installation Dependencies

MultiLabel-Transformer requires:

• Python (>= 3.6)
• scikit-learn(>=0.23.2)
• pandas(>= 1.1.2)

Installation

Use pip to install, if you already have a working installation of sckit-learn and pandas

pip install -U MultiLabel_Transformer

ELSE if you have conda:

conda install MultiLabel_Transformer

How To Use

to be filled...

Development

We welcome new contributors of all experience levels.

Important links

• Download releases: here
• Issue tracker: here
• Official source code repo: here

Contributing:

Interested in contributing?

well then, fork, clone and started!!

Help and Support

Documentation, Code Refinery and Improvements

Acknowedgement:

Special thanks to WorldQuant University and Udacity:AWS Scholarship, for their awesome lecture content.