Currently, it is not implemented. Feel free to open an issue regarding sparse support for HistGradientBoosting.
Thomas > On Oct 21, 2019, at 9:00 PM, Jason Wolosonovich <ja...@refinerynet.com> wrote: > > > Hi! > > I'm getting an error when trying to use the HistGradientBoostingClassifier by > feeding it the output from CountVectorizer and then TfidfTransformer. The > error is: > > TypeError: A sparse matrix was passed, but dense data is required. Use > X.toarray() to convert to a dense numpy array. > > I haven't opened an issue yet because I wanted to get more clarification on > whether this just isn't implemented yet or if there is some reason inherent > to histogram based boosting that prevents sparse inputs from being used. > > Making the array dense in my case causes me to run out of memory. Thanks in > advance! > > -Jason > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn
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