Chi Xu

same issue too :(

> Thanks for your reply! I build the source code in this command: mkdir build ; cd build ; cmake -DUSE_GPU=1 .. && make -j Sorry I can't paste my...

params = { ‘n_estimators’ : 500, 'learning_rate' : 0.05, 'subsample_freq' : 6 , 'subsample' : 0.91, 'colsample_bytree' : 0.83, 'colsample_bynode' : 0.78, 'num_leaves': 64, 'max_depth' : 8, 'reg_alpha' : 9,...

> That's ok, completely understand that the code might be sensitive. > > Are you able to share the values for `params`? Configuration you're using might give us some clues...

> I had this problem and resolved it by setting both min_child_sample and min_child_weight to 1 and 1/X_train.shape[0], respectively. I received the error when they were both set to 0....

@jameslamb Hello, this issue has been troubling me for many years. Currently, my training data far exceeds 64GB, yet I can only sample a dataset of 64GB in size, which...

> > I still have this issue using version 4.3.0. Anyone found a solution? Anything I can do to help solve the problem? > > I updated from 3.3.2(the version...

> Do you have an NVIDIA GPU? If so, please try the CUDA version of LightGBM instead. > > Instructions for that build: > > * https://lightgbm.readthedocs.io/en/latest/Installation-Guide.html#build-cuda-version > * https://github.com/microsoft/LightGBM/tree/master/python-package#build-cuda-version...