Metadata-Version: 2.1
Name: tkmt-package
Version: 0.17
Summary: UNKNOWN
Home-page: UNKNOWN
Author: ['Mugdha Thanawala', 'Tushar Kolekar']
Author-email: tkmt.ensemble@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
License-File: LICENCE
Requires-Dist: numpy
Requires-Dist: sklearn
Requires-Dist: pandas
Requires-Dist: seaborn

## tkmt_package
This package includes python libraries for Data Preprocessing, Ensemble Learning techniques such as Averaging, Weighted Averaging, Rank Weighted Averaging and Voting and Performance Evaluation.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install tkmt_package.

```bash
pip install tkmt_package
```

## Main Features
Ensemble Learning Techniques:
* Averaging
* Weighted Averaging
* Rank Weighted
* Votting
 
Data Preprocessing:
* Data Preperation
* Data Normalizations
* Train TEST Split

Performance Evaluation:
* Performance Evaluation
* Graphical Representation

## Documentation
The documentation for the latest release is at
-  https://mugdha-thanawala.gitbook.io/tkmt_package/

The Reference documentation for the latest release is at
- https://tusharkolekar24.gitbook.io/package-kolekar-1/

## How to get it
The main branch on GitHub is the most up to date code
- https://github.com/tkmtpackage/tkmt.ensemble-001

## Contributing
Contributions in any form are welcome, including:
- Documentation improvements
- Additional tests
- New features to existing models
- New models

