Metadata-Version: 1.1
Name: markovx
Version: 1.0.0
Summary: Markov model implementation
Home-page: https://github.com/talperetz/markovx
Author: Tal Peretz
Author-email: talperetz24@gmail.com
License: BSD
Download-URL: https://github.com/talperetz/markovx/tarball/1.0.0
Description-Content-Type: UNKNOWN
Description: ![](resources/markovx_banner.png)
        
        ### Intro ###
        [Markov Chains](https://en.wikipedia.org/wiki/Markov_chain) implementation <br>
        
        ### Installation ###
        in your terminal:
        
            > pip install markovx
            
        ### Examples ###
        
        Adding Chains
        ```python
        from markovx.model import MarkovModel
            
        mx = MarkovModel()
        mx.add_one('123456')
        mx.add_one('qwerty')
        mx.add_many(['admin', 'root', 'user'])
        ```
        
        Generating Chains
        ```python
        mx.generate(10) # len of tokens in chain
        ```
        ```python
        mx.generate(10, random_init=True)
        # when True first token in chain would be assigned randomly
        # when False first token would be assigned based on observed firs tokens
        # default to False
        ```
        ```python
        mx.generate(10, smart_ending=False)
        # when False chain wouldn't be terminated before len(chain) == n even if model got to an end token
        # when True if model got to an end token while len(chain) < n chain would terminate
        # default to True
        ```
        
        ### Contact ###
        [Tal Peretz](https://www.linkedin.com/in/tal-per/)
        
        
        
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
