The following script shows no difference in coefficients with or without
normalization:
>>> d = datasets.load_diabetes()
>>> linear_model.Lasso(normalize=True).fit(d['data'], d['target']).coef_
array([ 0. , -0. , 367.70185207, 6.30190419,
0. , 0. , -0. , 0. ,
307.6057 , 0. ])
>>> clf = linear_model.Lasso(normalize=False).fit(d['data'],
d['target']).coef_
array([ 0. , -0. , 367.70185207, 6.30190419,
0. , 0. , -0. , 0. ,
307.6057 , 0. ])
>>>
What am I doing wrong?
Is it possible that coef_ are always reported unnormalized?
Best Regards.
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