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TST: Added test for early stopping

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This commit is contained in:
terrytangyuan 2015-10-04 23:15:25 -05:00
parent 412310ed04
commit 956e50686e
2 changed files with 11 additions and 4 deletions
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9
tests/python/test_early_stopping.py Normal file
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@ -0,0 +1,9 @@
import xgboost as xgb
X = digits['data']
y = digits['target']
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)
clf = xgb.XGBClassifier()
clf.fit(X_train, y_train, early_stopping_rounds=10, eval_metric="auc",
eval_set=[(X_test, y_test)])

6
tests/python/test_with_sklearn.py
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@ -1,9 +1,7 @@
import pickle
import xgboost as xgb import xgboost as xgb
import numpy as np import numpy as np
from sklearn.cross_validation import KFold, train_test_split from sklearn.cross_validation import KFold, train_test_split
from sklearn.metrics import confusion_matrix, mean_squared_error from sklearn.metrics import mean_squared_error
from sklearn.grid_search import GridSearchCV from sklearn.grid_search import GridSearchCV
from sklearn.datasets import load_iris, load_digits, load_boston from sklearn.datasets import load_iris, load_digits, load_boston
@ -45,4 +43,4 @@ def test_boston_housing_regression():
assert mean_squared_error(preds, labels) < 9 assert mean_squared_error(preds, labels) < 9
test_boston_housing_regression()