Metadata-Version: 1.1
Name: ModifiedNB
Version: 0.2
Summary: Laplace corrected modified naïve bayes model
Home-page: https://github.com/chembl/ModifiedNB/
Author: Eloy Félix
Author-email: eloyfelix@gmail.com
License: MIT
Description: # ModifiedNB Model
        
        Scikit-learn based implementation of the popular cheminformatics Laplace corrected Naïve Bayes algorithm as described in:
        
            Prediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases
            Nidhi,†, Meir Glick,‡, John W. Davies,‡ and, and Jeremy L. Jenkins*,‡
            Journal of Chemical Information and Modeling 2006 46 (3), 1124-1133
            DOI: 10.1021/ci060003g
        
        ## Installation
        
            pip install ModifiedNB
        
        ## Usage
        
        Works exactly like any other scikit-learn model.
        
        ```python
        import numpy as np
        X = np.random.randint(5, size=(6, 100))
        y = np.array([1, 2, 3, 4, 5, 6])
        
        from ModifiedNB import ModifiedNB
        clf = ModifiedNB()
        clf.fit(X, y)
        print(clf.predict(X[2:3]))
        ```
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Chemistry
