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28 lines
776 B
Python
28 lines
776 B
Python
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from flaml import AutoML
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from sklearn.datasets import fetch_california_housing
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# Initialize an AutoML instance
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automl = AutoML()
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# Specify automl goal and constraint
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automl_settings = {
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"time_budget": 1, # in seconds
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"metric": "r2",
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"task": "regression",
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"log_file_name": "test/california.log",
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}
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X_train, y_train = fetch_california_housing(return_X_y=True)
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# Train with labeled input data
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automl.fit(X_train=X_train, y_train=y_train, **automl_settings)
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print(automl.model)
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print(automl.model.estimator)
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print(automl.best_estimator)
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print(automl.best_config)
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print(automl.best_config_per_estimator)
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print(automl.best_config_train_time)
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print(automl.best_iteration)
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print(automl.best_loss)
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print(automl.time_to_find_best_model)
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print(automl.config_history)
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