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9e88f22167
* fix a bug when using ray & update ray on aml When using with_parameters(), the config argument must be the first argument in the trainable function. * make training function runnable standalone
18 lines
434 B
Python
18 lines
434 B
Python
from ray_on_aml.core import Ray_On_AML
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from flaml import AutoML
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def _test_ray_classification():
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from sklearn.datasets import make_classification
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X, y = make_classification(1000, 10)
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automl = AutoML()
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automl.fit(X, y, time_budget=10, task="classification", n_concurrent_trials=2)
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if __name__ == "__main__":
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ray_on_aml = Ray_On_AML()
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ray = ray_on_aml.getRay()
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if ray:
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_test_ray_classification()
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