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
Description: [![DOI](http://joss.theoj.org/papers/10.21105/joss.00638/status.svg)](https://doi.org/10.21105/joss.00638)
        [![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)
        ![Python 3.7](https://img.shields.io/badge/python-3.7-blue.svg)
        ![Python 3.7](https://img.shields.io/badge/python-3.8-blue.svg)
        ![License](https://img.shields.io/badge/license-MIT-ORANGE.svg)
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        ![](./docs/sources/img/logo.png)
        
        
        **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/mlearnerer and install mlearner from your local drive via
        
        ```bash
        python setup.py install
        ```
        
        
        ---
        
        ## License
        
        
        ## Contact
        
        
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
