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Fix test_automl_performance in Github actions
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test/spark/test_performance.py

Lines changed: 7 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -31,14 +31,14 @@ class OpenMLServerException(Exception):
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os.environ["FLAML_MAX_CONCURRENT"] = "2"
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def run_automl(budget=3, dataset_format="dataframe", hpo_method=None):
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def run_automl(budget=30, dataset_format="dataframe", hpo_method=None):
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import urllib3
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from flaml.automl.data import load_openml_dataset
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performance_check_budget = 3600
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if sys.platform == "darwin" or "nt" in os.name or "3.10" not in sys.version:
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budget = 3 # revise the buget if the platform is not linux + python 3.10
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budget = 30 # revise the buget if the platform is not linux + python 3.10
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if budget >= performance_check_budget:
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max_iter = 60
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performance_check_budget = None
@@ -91,6 +91,11 @@ def run_automl(budget=3, dataset_format="dataframe", hpo_method=None):
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print("Best ML leaner:", automl.best_estimator)
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print("Best hyperparmeter config:", automl.best_config)
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print(f"Best accuracy on validation data: {1 - automl.best_loss:.4g}")
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if performance_check_budget is not None and automl.best_estimator is None:
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# skip the performance check if no model is trained
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# this happens sometimes in github actions ubuntu python 3.12 environment
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print("Warning: no model is trained, skip performance check")
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return
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print(f"Training duration of best run: {automl.best_config_train_time:.4g} s")
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print(automl.model.estimator)
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print(automl.best_config_per_estimator)

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