liblinear
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coefficients larger than 1
I wonder, if coefficients can be larger than 1 even on the normalized data ? I am bench making liblinear with glmnet, and I see one of the coefficients is larger than one.
Thanks.
Do you mean the weight vector? If so, yes they can be larger than 1 naarkhoo writes:
I wonder, if coefficients can be larger than 1 even on the normalized data ? I am bench making liblinear with glmnet, and I see one of the coefficients is larger than one.
Thanks.
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Thanks for your answer. I have another issue, the glmnet solution is sparser than LIBLINEAR solution - I wonder if there could be any explanation ? :-) - thanks.
If the same loss and the same parameters are used, I think they should give the same sparsity naarkhoo writes:
Thanks for your answer. I have another issue, the glmnet solution is sparser than LIBLINEAR solution - I wonder if there could be any explanation ? :-) - thanks.
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This issue was moved to angleto/liblinear#14