Metadata-Version: 1.1
Name: dirty-cat
Version: 0.0.1b3
Summary: Machine learning with dirty categories.
Home-page: http://dirty-cat.github.io/
Author: Patricio Cerda
Author-email: patricio.cerda@inria.fr
License: BSD
Description: dirty_cat
        =========
        
        dirty_cat is a Python module for machine-learning on dirty categorical variables.
        
        Website: https://dirty-cat.github.io/
        
        Installation
        ------------
        
        Dependencies
        ~~~~~~~~~~~~
        
        dirty_cat requires:
        
        - Python (>= 3.5)
        - NumPy (>= 1.8.2)
        - SciPy (>= 0.13.3)
        - scikit-learn
        
        Optional dependency:
        
        - python-Levenshtein for faster edit distances (not used for the n-gram
          distance)
        
        User installation
        ~~~~~~~~~~~~~~~~~
        
        If you already have a working installation of NumPy and SciPy,
        the easiest way to install dirty_cat is using ``pip`` ::
        
            pip install -U ...
        
        
        Citation
        ~~~~~~~~
        
        If you use this module in a scientific publication, please cite the following:
        (coming soon :))
        
Platform: any
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries
