Open counterpoint1 opened 4 years ago
We couldn't reproduce your issue. Would you please try to run ThunderGBM using command-line? Our command-line version also saves the trained model. This should help you identify whether the error is from ThunderGBM or other parts of your code.
How to best get the arrays outside python for command line execution?
also, we are attempting to migrate from scikit learn’s random forest, which has an option ‘ min_samples_leaf’ ...
Is it possible to have this option or guidance on how to replicate that parameter in thundergbm? Also can thundergbm apply a weighting vector to put more weight on recent samples?
Also, where to download the package for command line execution (for Windows 64 environments)? I just installed the python wheel for Windows...
I get this error, causing python to crash, when I invoke the save_model method after a model run. Trees are about 10+ deep, and 200 trees to save. Any ideas?