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`FIGSRegressor.fit()` does not seem to utilize all CPU cores.
I have a training dataset of 1473711 records.
After throwing it to FIGSRegressor.fit(), it's been running for almost 3hrs without evidence of stopping.
Looking at the processes I see there are 4 running parallel:
259883 Sl 0:00 /usr/bin/python -c from joblib.externals.loky.backend.resource_tracker import main; main(60, False)
259885 S 1:47 /usr/bin/python -m joblib.externals.loky.backend.popen_loky_posix --process-name LokyProcess-1 --pipe 73
259886 S 2:18 /usr/bin/python -m joblib.externals.loky.backend.popen_loky_posix --process-name LokyProcess-2 --pipe 74
259887 S 2:01 /usr/bin/python -m joblib.externals.loky.backend.popen_loky_posix --process-name LokyProcess-3 --pipe 75
259888 S 1:48 /usr/bin/python -m joblib.externals.loky.backend.popen_loky_posix --process-name LokyProcess-4 --pipe 77
However in top I see only 1/4 CPU getting utilized:

Any chance this is a bug or something expected?
Thanks.