mirror of
https://github.com/microsoft/autogen.git
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ca35fa969f
* refactoring TransformersEstimator to support default and custom_hp * handling starting_points not in search space * addressing starting point more than max_iter * fixing upper < lower bug
25 lines
602 B
Python
25 lines
602 B
Python
import sys
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import pytest
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from utils import get_toy_data_seqclassification, get_automl_settings
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@pytest.mark.skipif(sys.platform == "darwin", reason="do not run on mac os")
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def test_cv():
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from flaml import AutoML
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import requests
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X_train, y_train, X_val, y_val, X_test = get_toy_data_seqclassification()
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automl = AutoML()
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automl_settings = get_automl_settings()
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automl_settings["n_splits"] = 3
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try:
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automl.fit(X_train=X_train, y_train=y_train, **automl_settings)
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except requests.exceptions.HTTPError:
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return
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if __name__ == "__main__":
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test_cv()
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