Closed XZhang-ML closed 1 year ago
This is something that we wish to add at some point, but will likely take a bit of time to follow through on the development of this.
Mainly because given the amount of dependencies/ packages in use, we would need to standardize across all of them (if that is even possible).
It's really nice software, thanks for all the efforts! one problem I noticed is that the model initiates with different seeds and let to different performances per run. Could you add a random state to the model parameter so the prediction is reproducible?