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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 the
fork_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.