Yi-Xuan XU

Given the size of the matrix, I suppose that the number of samples is 4000, while the number of features is 1400. Such size is still small, and can be...

sklearn.randomforestclassifier can naturally handle class imbalance problems by passing the argument `class_weight` (e.g., put large weights on classes with very few samples). If this approach does not meet your requirements,...

Hi @lorenzosquadrani, thanks for you suggestions. I agree with you that we should support specifying various learning rates for different model parameters. However, in some ensembles such as gradient boosting,...

Hi Batuhan, The use of cross entropy loss for classifier and mean squared error loss for regressor rooted in the early API design of torchensemble (following the same design of...

Great!

Sorry for the late response @by256. > Would it be simpler to just set the loss function as an instance variable with a set_criterion method, then access the method via...

Thanks for reporting! @francescamanni1989 Could you provide the code snippet that reproduces the runtime error.

It looks like the package does not support `torchscript` well for now. I will have a careful look when I get a moment, thanks!

Hi @irg1008, thanks for your kind reminder, will appreciate a PR very much ;-)

Great! Feel free to work on it, and let me know if you need any help ;-) @SarthakJariwala