8442321b9b7a7cef7e3806b525965c36cea1549e,examples/60_search/example_parallel_manual_spawning.py,,,#,97

Before Change

processes = []
spawn_classifier = get_spawn_classifier(X_train, y_train)
for i in range(4):  // set this at roughly half of your cores
    p = multiprocessing.Process(
        target=spawn_classifier,
        args=(i, "breast_cancer"),
    )
    p.start()
    processes.append(p)
for p in processes:
    p.join()

print("Starting to build an ensemble!")

After Change

            args=(cluster.scheduler_address,),
        )
        process_python_worker.start()
        process_cli_worker = multiprocessing.Process(
            target=start_cli_worker,
            args=(cluster.scheduler_address,),
        )
        process_cli_worker.start()

        // Wait a second for workers to become available
        time.sleep(1)

Instances