我有一个keras模型，并使用kerasclassifier将其转换为scikit模型，但是我如何转换对象似乎有些问题。
使用cross_validate函数@ https://github.com/Neetu162/DeepLearningResearch/blob/677d1ddeb6f345716a457b977c26cbe14efa7bb0/Demo/classify_demo.py#L83
时出现此错误 File "/anaconda3/lib/python3.7/site-packages/joblib/parallel.py", line 797, in dispatch_one_batch
tasks = self._ready_batches.get(block=False)
File "/anaconda3/lib/python3.7/queue.py", line 167, in get
raise Empty
Empty
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/DeepLearningResearch/Demo/classify_demo.py", line 171, in <module>
main()
File "/DeepLearningResearch/Demo/classify_demo.py", line 83, in main
cv_result = cross_validate(model, perm_inputs_1, cv=5, return_train_score=True, n_jobs=1)
File "/anaconda3/lib/python3.7/site-packages/sklearn/utils/validation.py", line 73, in inner_f
return f(**kwargs)
File "/anaconda3/lib/python3.7/site-packages/sklearn/model_selection/_validation.py", line 248, in cross_validate
for train, test in cv.split(X, y, groups))
File "/anaconda3/lib/python3.7/site-packages/joblib/parallel.py", line 1004, in __call__
if self.dispatch_one_batch(iterator):
File "/anaconda3/lib/python3.7/site-packages/joblib/parallel.py", line 808, in dispatch_one_batch
islice = list(itertools.islice(iterator, big_batch_size))
File "/anaconda3/lib/python3.7/site-packages/sklearn/model_selection/_validation.py", line 248, in <genexpr>
for train, test in cv.split(X, y, groups))
File "/anaconda3/lib/python3.7/site-packages/sklearn/utils/validation.py", line 73, in inner_f
return f(**kwargs)
File "/anaconda3/lib/python3.7/site-packages/sklearn/base.py", line 87, in clone
new_object_params[name] = clone(param, safe=False)
File "/anaconda3/lib/python3.7/site-packages/sklearn/utils/validation.py", line 73, in inner_f
return f(**kwargs)
File "/anaconda3/lib/python3.7/site-packages/sklearn/base.py", line 71, in clone
return copy.deepcopy(estimator)
File "/anaconda3/lib/python3.7/copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/anaconda3/lib/python3.7/copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)
File "/anaconda3/lib/python3.7/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/anaconda3/lib/python3.7/copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/anaconda3/lib/python3.7/copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/anaconda3/lib/python3.7/copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)
File "/anaconda3/lib/python3.7/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/anaconda3/lib/python3.7/copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/anaconda3/lib/python3.7/copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/anaconda3/lib/python3.7/copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)
File "/anaconda3/lib/python3.7/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/anaconda3/lib/python3.7/copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/anaconda3/lib/python3.7/copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/anaconda3/lib/python3.7/copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)
File "/anaconda3/lib/python3.7/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/anaconda3/lib/python3.7/copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/anaconda3/lib/python3.7/copy.py", line 169, in deepcopy
rv = reductor(4)
TypeError: can't pickle _thread.RLock objects
我使用KerasClassifier或cross_validate的方式有什么不正确吗？