Comments (2)
mschwoer
commented on June 26, 2024
The root cause is that the n_processes settings are not propagated to score.py:train_RF(). Thus, the default value n_jobs: int = -1 is always used there, which makes GridSearchCV (according to doc) always use the maximum number of cores available. If this is bigger than 60, the crash described in #434 occurs.
Suggested solution:
- pass
n_processessettings toscore.py:train_RF(). - (optional) to make
train_RF()itself robust against this issue, introduce another cpu core check (similar to the solution in 7e989bc)
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straussmaximilian
commented on June 26, 2024
Was closed with #489. Feel free to reopen in case anything else comes up.
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