To solve the multiprocessing issue, we need to wrap the call to self._build_roots(X, y, weights) inside an if __name__ == '__main__': block. This ensures that the multiprocessing module works correctly when n_jobs is greater than one.
To solve the problem, we need to modify the fork_call function to use multiprocessing.get_context('fork') for creating the process. Additionally, we need to ensure that the process creation is wrapped in a if __name__ == '__main__': block to avoid the RuntimeError.
To solve the multiprocessing issue, we need to wrap the call to
self._build_roots(X, y, weights)
inside anif __name__ == '__main__':
block. This ensures that the multiprocessing module works correctly whenn_jobs
is greater than one. To solve the problem, we need to modify thefork_call
function to usemultiprocessing.get_context('fork')
for creating the process. Additionally, we need to ensure that the process creation is wrapped in aif __name__ == '__main__':
block to avoid the RuntimeError.