1) You can call fit(X, Y) where Y is a n_samples array of label integers
*or* Y is a n_samples x n_classes array containing *label proportions*.
Matthieu - that's great. In glmnet it is implemented directly as counts
(not proportions) - which may be more natural.
I find it a shame this is not im
Awesome!
On 10/23/18 9:10 AM, Mathieu Blondel wrote:
Hi,
Most scikit-learn users who need predict_proba use the logistic
regression class. We've released a new package implementing more loss
functions useful for probabilistic classification.
https://github.com/mblondel/fenchel-young-losses/
Hi,
Most scikit-learn users who need predict_proba use the logistic regression
class. We've released a new package implementing more loss functions useful
for probabilistic classification.
https://github.com/mblondel/fenchel-young-losses/
This is based on our recently proposed family of loss fun
