> ranks = np.argsort(np.sum(estimator.coef_ ** 2, axis=0))
>
> My question is: Why the summation of the squared weight matrix is used?
> What is the logic behind it?
This is used for handling estimators that assign several weights to
the same feature. Indeed, if several weights are assigned to a e
Hello Mathieu,
> I am currently using linear SVM to perform classification analyses with
> fMRI data. I wanted to extract the weight for each feature in order to
> map them back on the brain. Since I am doing a 4 class classification
> (supposedly under the 'one vs. one' heuristic), there are 3 we
Hello,
I am currently using linear SVM to perform classification analyses with
fMRI data. I wanted to extract the weight for each feature in order to
map them back on the brain. Since I am doing a 4 class classification
(supposedly under the 'one vs. one' heuristic), there are 3 weights for
ea
