Metadata-Version: 2.1
Name: rvfln
Version: 0.0.3
Summary: Package for an implementation of Random Vector Functional Link Network. For the user's convenience the package uses Sklearn's API
Home-page: UNKNOWN
Author: Márton Kardos
License: UNKNOWN
Description: # RVFLN
        
        <p>
        A Python implementation of Random Vector Functional Link Networks using the Sklearn API
        </p>
        
        ## Installation
        
            pip install rvfln
        
        <br>
        
        ## Usage
        
        Since the API is based on that of sklearn the usage is very similar.
        The package contains:
        
        - a base model, where both X and Y are matrices,
        - a regressor, where X is a matrix and y is a vector
        - a classifier, where X is a matrix and y is an Iterable of labels
        
        <br>
        
            from rvfln import RVFLNClassifier
        
            model = RVFLNClassifier(n_enhancement = 2000)
            model.fit(X_train, y_train)
            model.score(X_test, y_test)
        
        <br>
        
        YOH-HAN PAO, STEPHEN M. PHILLIPS & DEJAN J. SOBAJIC (1992) Neural-net computing and the intelligent control of systems, International Journal of Control, 56:2, 263-289, DOI: 10.1080/00207179208934315
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
