将 sklearn 的 BaggingClassifier 与 GridSearchCV 一起使用时出现 ZeroDivisionError

Question

我正在尝试使用套袋改进完美运行的伯努利朴素贝叶斯模型。

但是当我尝试交叉验证 BaggingClassifier 时，我从 parallel.py 得到了一个非常意外的 ZeroDivisionError。

我已经尝试更改我知道的所有参数，重新启动 python 但没有任何效果。

这是一个可重现的示例，其中包含经过二进制修改的 iris 数据集：

#%% run
import numpy as np

from sklearn.model_selection import GridSearchCV
from sklearn.ensemble import BaggingClassifier
from sklearn.naive_bayes import BernoulliNB
from sklearn.datasets import load_iris


data = load_iris()
data.targetbin = (data.target!=0).astype("int")




param_grid2={'max_samples' : np.linspace(0.5,1.0,3),
            'base_estimator__alpha':np.linspace(0.1,1,3),
            'base_estimator__binarize':[*np.linspace(0.0,1,3)],
            'base_estimator__fit_prior':[True,False]}


param_grid2={'max_samples' :[0.7]}


clf = GridSearchCV(
        BaggingClassifier(
                BernoulliNB(),
                n_estimators = 10, max_features = 0.5),
        param_grid2,
        scoring = "accuracy",
        verbose=-1)


clf.fit(data.data, data.targetbin)

这里是我的错误堆栈跟踪：

[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. Traceback (most recent call last):

File "", line 33, in clf.fit(data.data, data.targetbin)

File "C:\Users\Dan\Anaconda3\lib\site-packages\sklearn\model_selection_search.py", line 722, in fit self._run_search(evaluate_candidates)

File "C:\Users\Dan\Anaconda3\lib\site-packages\sklearn\model_selection_search.py", line 1191, in _run_search evaluate_candidates(ParameterGrid(self.param_grid))

File "C:\Users\Dan\Anaconda3\lib\site-packages\sklearn\model_selection_search.py", line 711, in evaluate_candidates cv.split(X, y, groups)))

File "C:\Users\Dan\Anaconda3\lib\site-packages\sklearn\externals\joblib\parallel.py", line 917, in call if self.dispatch_one_batch(iterator):

File "C:\Users\Dan\Anaconda3\lib\site-packages\sklearn\externals\joblib\parallel.py", line 759, in dispatch_one_batch self._dispatch(tasks)

File "C:\Users\Dan\Anaconda3\lib\site-packages\sklearn\externals\joblib\parallel.py", line 716, in _dispatch job = self._backend.apply_async(batch, callback=cb)

File "C:\Users\Dan\Anaconda3\lib\site-packages\sklearn\externals\joblib_parallel_backends.py", line 184, in apply_async callback(result)

File "C:\Users\Dan\Anaconda3\lib\site-packages\sklearn\externals\joblib\parallel.py", line 306, in call self.parallel.print_progress()

File "C:\Users\Dan\Anaconda3\lib\site-packages\sklearn\externals\joblib\parallel.py", line 806, in print_progress if (is_last_item or cursor % frequency):

ZeroDivisionError: integer division or modulo by zero

我做错了什么？

Answer 1

我尝试调试库，发现 sklearn/externals/joblib/parallel.py 的 self.verbose 是 -1，但默认情况下它应该至少是 0。所以我认为这是一个错误。

将 sklearn 的 BaggingClassifier 与 GridSearchCV 一起使用时出现 ZeroDivisionError

ZeroDivisionError when using sklearn's BaggingClassifier with GridSearchCV

python

divide-by-zero

scikit-learn