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df01031cfe
* Prepare for release Co-authored-by: Moe Kayali <t-moekayali@microsoft.com> * bug fix * improve doc and code quality Co-authored-by: Qingyun Wu
14 lines
410 B
Python
14 lines
410 B
Python
from flaml.data import load_openml_dataset
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from flaml.default import XGBClassifier
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from flaml.ml import sklearn_metric_loss_score
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X_train, X_test, y_train, y_test = load_openml_dataset(dataset_id=1169, data_dir="./")
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xgb = XGBClassifier()
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xgb.fit(X_train, y_train)
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y_pred = xgb.predict(X_test)
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print(
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"flamlized xgb accuracy =",
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1 - sklearn_metric_loss_score("accuracy", y_pred, y_test),
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)
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print(xgb)
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