I am trying to perform regression where my dependent variable is constrained to be between 0 and 1. This constraint comes from the fact that it represents a count proportion. That is counts in some category divided by a total count.
In the literature it seems that one common way to tackle this is to use logistic regression. However, it appears that in scikit learn logistic regression is only available as a classifier (http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html ) . Is that right? Is there another way to perform regression using scikit learn where the dependent variable is a count proportion? Thanks for any help. Raphael _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
