Metadata-Version: 1.2
Name: sevq
Version: 1.0.2
Summary: SEVQ: Simple Evolving Vector Quantization
Home-page: https://github.com/sylwekczmil/sevq
Author: Sylwester Czmil
Author-email: sylwekczmil@gmail.com
License: MIT license
Description: ====
        sevq
        ====
        
        
        .. image:: https://img.shields.io/pypi/v/sevq.svg
                :target: https://pypi.python.org/pypi/sevq
        
        .. image:: https://img.shields.io/travis/sylwekczmil/sevq.svg
                :target: https://travis-ci.com/github/sylwekczmil/sevq
        
        .. image:: https://readthedocs.org/projects/sevq/badge/?version=latest
                :target: https://sevq.readthedocs.io/en/latest/?version=latest
                :alt: Documentation Status
        
        
        SEVQ: Simple Evolving Vector Quantization
        
        
        * Free software: MIT license
        * Documentation: https://sevq.readthedocs.io.
        
        
        
        Installation
        --------------
        
        To install sevq, run this command in your terminal:
        
        .. code-block:: console
        
            pip install sevq
        
        Usage
        -----
        
        Training and prediction one sample at a time
        
        
        .. code:: python3
        
            from sevq.algorithm import SEVQ
        
            c = SEVQ()
            c.partial_fit([-2, -2], 2)
            c.partial_fit([-1, -1], 1)
            c.partial_fit([1, 1], 1)
            c.partial_fit([2, 2], 2)
        
            print(c.predict([0, 0]))  # 1
            print(c.predict([3, 3]))  # 2
            print(c.predict([-3, -3]))  # 2
        
        Training and prediction on multiple samples
        
        
        .. code:: python3
        
            from sevq.algorithm import SEVQ
        
            c = SEVQ()
            c.fit(
                [[-2, -2], [-1, -1], [1, 1], [2, 2]],
                [2, 1, 1, 2],
                epochs=1, permute=False
            )
        
            print(c.predict([[0, 0], [3, 3], [-3, -3]]))  # [1, 2, 2]
        
Keywords: sevq
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
