A simple to "path" ElasticNet parameters ( in python)

import numpy as npimport sysimport mathtrfile=sys.argv[1]tlabel=sys.argv[2]parafile=sys.argv[3]from sklearn.linear_model import ElasticNetCVA=np.genfromtxt(trfile);label=np.loadtxt(tlabel,dtype=np.int8);clscv=ElasticNetCV(cv=3, l1_ratio=0.9);clscv.fit(A,label)y="%s %s" %(clscv.alpha_ ,clscv.l1_ratio)f = file(parafile, 'w') # open for 'w'ritingf.write(y);f.closeprint y

trfile : training data

tlabel:label data

parafile: file to save parameters

two parameters: alpha and l1_ratio

but............set l1_ratio = 0.9

A better method will update to combine l1_ratio inside :)