Metadata-Version: 2.1
Name: cordial
Version: 0.222
Summary: comprehensive recommender systems
Home-page: https://github.com/Vagif12/cordial
Author: Vagif Aliyev
Author-email: vagal2003@gmail.com
License: MIT
Description: # cordial
        Coridal is an intuitive light-weight API that allows developers to seamlessly use different recommender systems for their needs. 
        In just three lines of a code, one can built a powerful content recommender system. Currently, Coridal only provides content recommenders,
        but collaborative filtering is coming soon!
        
        # Installation
        `pip install cordial`
        
        # Example usage:
        
        ```python
        
        # An example with Cordial's BasicRecommender
        from cordial.content_recommenders import GraphRecommender,BasicRecommender
        recommender = BasicRecommender('disney')
        print(recommender.recommend('Toy Story')['result'])
        
        # An example with Cordial's GraphRecommender
        from cordial.content_recommenders import GraphRecommender,BasicRecommender
        recommender = GraphRecommender('netflix')
        print(recommender.recommend('Toy Story')['result'])
        
        # It's as simple as pie!
        ```
        
        # Todo:
         1. Add support for other documents besides CSV
         2. Add collaborative filtering
         3. Implement as a REST API
        
Keywords: machine learning,recommender systems,automation
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
