Metadata-Version: 1.2
Name: evq
Version: 0.0.2
Summary: EVQ: Evolving Vector Quantization for Classification
Home-page: https://github.com/sylwekczmil/evq
Author: Sylwester Czmil
Author-email: sylwekczmil@gmail.com
License: MIT license
Description: EVQ
        ===
        
        Evolving Vector Quantization for Classification of On-Line Data Streams
        
        Note
        ====
        
        Inspired by this algorithm and several others, I created a new one
        called SEVQ: https://github.com/sylwekczmil/sevq
        
        Inspiration
        ===========
        
        Implementation done by Sylwester Czmil based on pseudocode and algorithm
        description from:
        
        E. Lughofer, "Evolving Vector Quantization for Classification of On-Line
        Data Streams," 2008 International Conference on Computational
        Intelligence for Modelling Control & Automation, 2008, pp.779-784, doi:
        10.1109/CIMCA.2008.47.
        
        
        Installation
        ============
        
        .. code:: bash
        
           # create venv and activate
           # install algorithm
           pip3 evq
        
        Example usage
        =============
        
        Training and prediction one sample at a time
                                                    
        
        .. code:: python3
        
           from evq.algorithm import EVQ
        
           c = EVQ(number_of_classes=2, vigilance=0.1)
           c.partial_fit([-2, -2], 1)
           c.partial_fit([-1, -1], 0)
           c.partial_fit([1, 1], 0)
           c.partial_fit([2, 2], 1)
        
           print(c.predict([0, 0]))  # 0 
           print(c.predict([3, 3]))  # 1
           print(c.predict([-3, -3]))  # 1
        
        Training and prediction on multiple samples
                                                   
        
        .. code:: python3
        
           from evq.algorithm import EVQ
        
           c = EVQ(number_of_classes=2, vigilance=0.1)
           c.fit(
               [[-2, -2], [-1, -1], [1, 1], [2, 2]],
               [1, 0, 0, 1],
               epochs=1, permute=False
           )
        
           print(c.predict([[0, 0], [3, 3], [-3, -3]]))  # [0, 1, 1]
        
Keywords: evq
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
