REG

>>> from sklearn import linear_model
>>> reg = linear_model.LinearRegression()
>>> reg.fit ([[0, 0], [1, 1], [2, 2]], [0, 1, 2])
LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)
>>> reg.coef_
array([ 0.5,  0.5])



from sklearn import linear_model
reg = linear_model.LinearRegression()
reg.fit ([[0, 0], [1, 1], [2, 2]], [0, 1, 2])

reg.coef_

CLF

>>> from sklearn import linear_model
>>> clf = linear_model.LinearRegression()
>>> clf.fit([[0,0],[1,1],[2,2]],[0,1,2])
LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)>> >


>>> clf.coef_    ############ reading out the coefficients  ====slope
array([ 0.5,  0.5])
>>>