Hi, thanks for this great tool!
I'm currently using the following line to fit the model:
model.fit(min_iter=10, max_iter=1000)
However, the fitting process is very slow and appears to be single-threaded.
I would like to ask:
Is the .fit() function designed to run in a single thread?
Is there any built-in support for multi-threading or parallel computation?
If not, are there any recommended strategies to speed it up (e.g., batching, using joblib, etc.)?
My dataset is large (~60,000 cells), so performance is becoming a bottleneck.
Any suggestions or future plans for parallelization would be greatly appreciated. Thanks!