I implemented a univariate xgboost time series using the following code, def series_to_supervised(data, n_in=1, n_out=1, dropnan=True): n_vars = 1 if type(d
I use xgboost to train a classification model. GridCVSearch gives the best max_depth=1. This means all my hundreds of trees are split at a single node. Does t
I ran this code on cmd and I face this error. _pickle.UnpicklingError: NEWOBJ class argument isn't a type object my app.py goes like this: # -*- coding: utf-8 -
I've spent a good deal of time trying to find out what these "subsample", "colsample_by_tree", and "colsample_bylevel" actually did in XGBClassifier() but I can
When I run a Tweedie GLM, one can get the prediction from the link by doing exp(link). To get the prediction for a Tweedie GLM, I get the prediction from the li