Metadata-Version: 2.1
Name: mlearner
Version: 0.0.2.dev5
Summary: Machine Learning Library Extensions
Home-page: https://github.com/jaisenbe58r/mlearner
Author: Jaime Sendra
Author-email: jaisenberafel@gmail.com
License: MIT
Download-URL: https://github.com/jaisenbe58r/MLearner/archive/v0.0.2.tar.gz
Keywords: SOME,MEANINGFULL,KEYWORDS
Platform: any
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: matplotlib (==3.0.2)
Requires-Dist: pandas (==0.23.4)
Requires-Dist: scikit-learn (==0.20.2)
Requires-Dist: dlib
Requires-Dist: seaborn
Requires-Dist: shap
Requires-Dist: hyperopt
Requires-Dist: scipy
Requires-Dist: xgboost
Requires-Dist: lightgbm
Requires-Dist: catboost
Requires-Dist: pytest (<5.0.0,>=4.6.6)
Requires-Dist: mkdocs
Requires-Dist: setuptools


[![Build Status](https://travis-ci.org/jaisenbe58r/mlearner.svg?branch=master)](https://travis-ci.org/jaisenbe58r/mlearner)
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![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)
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![Python 3.7](https://img.shields.io/badge/python-3.8-blue.svg)
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[![Discuss](https://img.shields.io/badge/discuss-DISCORD-PURPLE.svg)](https://discord.gg/HUxahg)

![](./docs/sources/img/barra.jpg)


**mlearner (machine learning for data enginnering) is a Python library of useful tools for the day-to-day data science tasks.**

<br>

Jaime Sendra - 2020

<br>

## Links

- **Documentation:** [http://jaisenbe58r.github.io/mlearner](http://jaisenbe58r.github.io/mlearner)
- PyPI: [https://pypi.python.org/pypi/mlearner](https://pypi.python.org/pypi/mlearner)
- Changelog: [http://jaisenbe58r.github.io/mlearner/CHANGELOG](http://jaisenbe58r.github.io/mlearner/CHANGELOG)
- Contributing: [http://jaisenbe58r.github.io/mlearner/CONTRIBUTING](http://jaisenbe58r.github.io/mlearner/CONTRIBUTING)
- Questions? Check out the [Google Groups mailing list](https://groups.google.com/forum/#!forum/mlearner)

<br>
<br>

## Installing mlearner

#### PyPI

To install mlearner, just execute  

```bash
pip install mlearner  
```

Alternatively, you could download the package manually from the Python Package Index [https://pypi.python.org/pypi/mlearner](https://pypi.python.org/pypi/mlearner), unzip it, navigate into the package, and use the command:

```bash
python setup.py install
```

#### Conda
If you use conda, to install mlearner just execute

```bash
conda install -c conda-forge mlearner 
```

#### Dev Version

The mlearner version on PyPI may always be one step behind; you can install the latest development version from the GitHub repository by executing

```bash
pip install git+git://github.com/jaisenbe58r/mlearner.git#egg=mlearner
```

Or, you can fork the GitHub repository from https://github.com/jaisenbe58r/mlearner and install mlearner from your local drive via

```bash
python setup.py install
```


---

## License


## Contact



