Ji Feng
@SecMatrix thanks . Glad you ask about eForest, it'll be pretty fast, any laptop can run without trouble. Will be released soon. For the gcForest, the main bottleneck for RAM...
Thanks! I think py3.5 will be working just fine, if I remember it correctly... in other words, I think at most one or two easy fix ups.( possibly zero changes)...
@pylablanche This is great, I'm looking forward of your feedbacks!! Thanks!! 2018-01-06 0:51 GMT+08:00 Pierre-Yves Lablanche : > @kingfengji , > > I have downloaded everything and will try using...
@SecMatrix Hi, I did not. for completely random tree forest, just use: ExtraTreesClassifier and set max_features = 1. Thanks
@pylablanche You are absolutely right as always, I'll add it . I also updated the code to make the package suitable for py3.5 I've tested python 3.5 and it seems...
@pylablanche yes, I modified such places to make it compatible for python3.5, i think xgboost can be installed via pip, as long as the gcc version is the right one,...
Hi @pylablanche , Thank you very much for your suggestions, I'm new to this open-source thing and I appriciate your kindness. More readme and python3 then. I've done some more...
@pylablanche thank you very much for your tips. I was kind of really busy on some new research and sorry for late reply. Any suggestions / details are welcomed any...
Hi @pylablanche , I've just updated the package, feel free to use it and comment
change basestring to six.string_types (and remember to import six) if you are using py3.5