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fix sklearn best score

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This commit is contained in:
tqchen 2015-07-29 17:49:55 -07:00
parent c261b3d1f5
commit 5f9f42292c
1 changed files with 11 additions and 6 deletions
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17
wrapper/xgboost.py
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@ -866,6 +866,7 @@ def train(params, dtrain, num_boost_round=10, evals=(), obj=None, feval=None,
bst.best_iteration = best_score_i bst.best_iteration = best_score_i
return bst return bst
class CVPack(object): class CVPack(object):
""""Auxiliary datastruct to hold one fold of CV.""" """"Auxiliary datastruct to hold one fold of CV."""
def __init__(self, dtrain, dtest, param): def __init__(self, dtrain, dtest, param):
@ -1154,9 +1155,11 @@ class XGBModel(XGBModelBase):
eval_results = {k: np.array(v, dtype=float) eval_results = {k: np.array(v, dtype=float)
for k, v in eval_results.items()} for k, v in eval_results.items()}
eval_results = {k: np.array(v) for k, v in eval_results.items()} eval_results = {k: np.array(v) for k, v in eval_results.items()}
self.eval_results_ = eval_results self.eval_results = eval_results
self.best_score_ = self._Booster.best_score
self.best_iteration_ = self._Booster.best_iteration if early_stopping_rounds is not None:
self.best_score = self._Booster.best_score
self.best_iteration = self._Booster.best_iteration
return self return self
def predict(self, data): def predict(self, data):
@ -1266,9 +1269,11 @@ class XGBClassifier(XGBModel, XGBClassifierBase):
if eval_results: if eval_results:
eval_results = {k: np.array(v, dtype=float) eval_results = {k: np.array(v, dtype=float)
for k, v in eval_results.items()} for k, v in eval_results.items()}
self.eval_results_ = eval_results self.eval_results = eval_results
self.best_score_ = self._Booster.best_score
self.best_iteration_ = self._Booster.best_iteration if early_stopping_rounds is not None:
self.best_score = self._Booster.best_score
self.best_iteration = self._Booster.best_iteration
return self return self