19 lines
648 B
Python
19 lines
648 B
Python
import xgboost as xgb
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import numpy as np
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from sklearn.datasets import load_digits
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from sklearn.cross_validation import KFold, train_test_split
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rng = np.random.RandomState(1994)
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def test_early_stopping_nonparallel():
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# digits = load_digits(2)
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# X = digits['data']
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# y = digits['target']
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# X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)
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# clf = xgb.XGBClassifier()
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# clf.fit(X_train, y_train, early_stopping_rounds=10, eval_metric="auc",
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# eval_set=[(X_test, y_test)])
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print("This test will be re-visited later. ")
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# TODO: parallel test for early stopping
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# TODO: comment out for now. Will re-visit later |