Metadata-Version: 1.2
Name: sklearn2gem
Version: 0.1.1
Summary: sklearn2gem converts a Pickle'd scikit-learn model into a rubygem
Home-page: https://github.com/stewartpark/sklearn2gem
Author: Stewart Park
Author-email: hello@stewartjpark.com
License: MIT
Description: 
        # sklearn2gem
        
        [![Build Status](https://travis-ci.org/stewartpark/sklearn2gem.svg?branch=master)](https://travis-ci.org/stewartpark/sklearn2gem)
        [![Requirements Status](https://requires.io/github/stewartpark/sklearn2gem/requirements.svg?branch=master)](https://requires.io/github/stewartpark/sklearn2gem/requirements/?branch=master)
        [![PyPI version](https://badge.fury.io/py/sklearn2gem.svg)](https://badge.fury.io/py/sklearn2gem)
        
        ⚡ sklearn2gem ports your scikit-learn model into a fast ruby C binding!
        
        # Getting started
        
        Install sklearn2gem using `pip`:
        
        ```
        pip install sklearn2gem
        ```
        
        or via `easy_install`:
        
        ```
        easy_install sklearn2gem
        ```
        
        After that, dump your scikit-learn model with `sklearn.externals.joblib`, and run `sklearn2gem model_name@version your_model.pkl foo/bar/model_name`. You should be able to see a newly created folder named `model_name` under `foo/bar/`.
        
        See [`examples/iris.py`](https://github.com/stewartpark/sklearn2gem/blob/master/examples/iris.py) to try it out.
        
        To produce a pre-compiled binary gem, use [gem-compiler](https://github.com/luislavena/gem-compiler).
        
        # What machine learning algorithms are supported?
        
        Since sklearn2gem uses `nok/sklearn-porter` to convert a model into a C file, you can refer to [this page](https://github.com/nok/sklearn-porter#machine-learning-algorithms).
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.6.0
