Metadata-Version: 2.1
Name: plsRe
Version: 0.0.2
Summary: A simple package for Partial Least-Sqaures Regression
Home-page: https://github.com/ychen381/PLSR
Author: Charles Chen
Author-email: yc414@duke.edu
License: UNKNOWN
Description: # plsre Documentation
        * * *
        ## Installation
        ```python
        pip install plsre
        ```
        * * *
        ## Usage
        ```python
        from plsre import PlsRegression as PR
        # Perform Partial Least_Squared Regression training
        
        X = np.array([[0., 0., 1.], [1.,0.,0.], [2.,2.,2.], [2.,5.,4.]])
        Y = np.array([[0.1, -0.2], [0.9, 1.1], [6.2, 5.9], [11.9, 12.3]])
        
        P, Q, W, T,B = PR.plsr_train(X,Y)
        
        # Perform Prediction using different optimization
        print(PR.plsr_predict(X,Y,P,Q,W,B))
        print(PR.plsr_predict_numba(X,Y,P,Q,W,B))
        print(PR.plsr_predict_numpy(X,Y,P,Q,W,B))
        
        ```
        
Keywords: package models regression
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
