Metadata-Version: 2.1
Name: model-arena
Version: 0.0.1
Summary: A model extension package
Home-page: https://github.com/TanselArif-21/LinearRegression
Author: Tansel Arif
Author-email: tanselarif@live.co.uk
License: UNKNOWN
Description: # Models Package
        
        1- Ridge Regression: Extends SKLearns Ridge regression by adding p-values, featureSelection and alpha optimisation.
        
        Example Usage:
        
        # Import
        from model_arena.Regression import RidgeRegression
        
        # Create a RidgeRegression object
        rm = RidgeRegression()
        
        # Run the feature selection method as above to limit to the most important variables. 
        # Stores the order of variables to the object
        rm.featureSelection(X,y)
        
        # Find the value of alpha minimising MSE for these features
        rm.findBestAlpha(X[rm.bestMeanCVModel],y)
        
        # Print the alpha
        print('Alpha = {}'.format(rm.alpha))
        
        # Fit the model with the best features and the alpha
        rm.fit(X[rm.bestMeanCVModel],y)
        
        # Display a summary including p-values
        rm.summary(X[rm.bestMeanCVModel],y)
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
