我尝试将Keras模型（作为函数）传递给scikit_learn中的KerasClassifier包装器，然后使用GridSearchCV创建一些设置，最后拟合训练和测试数据集（两者都是numpy数组）
接着，在使用相同的Python脚本时，我得到了不同的异常，其中一些是：
_1.
Traceback (most recent call last): File “mnist_flat_imac.py”, line 63, in grid_result = validator.fit(train_images, train_labels) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/site-packages/sklearn/model_selection/_search.py”, line 626, in fit base_estimator = clone(self.estimator) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/site-packages/sklearn/base.py”, line 62, in clone new_object_params[name] = clone(param, safe=False) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/site-packages/sklearn/base.py”, line 53, in clone
snipped here
in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/copy.py”, line 174, in deepcopy rv = reductor(4) TypeError: can’t pickle SwigPyObject objects Exception ignored in: > Traceback (most recent call last): File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/site-packages/tensorflow/python/framework/c_api_util.py”, line 52, in __del__ c_api.TF_DeleteGraph(self.graph) AttributeError: ‘ScopedTFGraph’ object has no attribute ‘graph’
_2.
Traceback (most recent call last): File “mnist_flat_imac.py”, line 63, in grid_result = validator.fit(train_images, train_labels) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/site-packages/sklearn/model_selection/_search.py”, line 626, in fit base_estimator = clone(self.estimator) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/site-packages/sklearn/base.py”, line 62, in clone new_object_params[name] = clone(param, safe=False) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/site-packages/sklearn/base.py”, line 53, in clone return copy.deepcopy(estimator) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/copy.py”, line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/copy.py”, line 297, in _reconstruct
snipped here
in deepcopy y = _reconstruct(x, rv, 1, memo) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/copy.py”, line 297, in _reconstruct state = deepcopy(state, memo) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/copy.py”, line 155, in deepcopy y = copier(x, memo) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/copy.py”, line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/copy.py”, line 174, in deepcopy rv = reductor(4) TypeError: can’t pickle SwigPyObject objects
_3.
Traceback (most recent call last): File “mnist_flat_imac.py”, line 63, in grid_result = validator.fit(train_images, train_labels) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/site-packages/sklearn/model_selection/_search.py”, line 626, in fit base_estimator = clone(self.estimator) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/site-packages/sklearn/base.py”, line 62, in clone new_object_params[name] = clone(param, safe=False) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/site-packages/sklearn/base.py”, line 53, in clone
snipped here
in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/copy.py”, line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File “/home/longnv/PYTHON_ENV/DataScience/lib/python3.5/copy.py”, line 306, in _reconstruct y.dict.update(state) AttributeError: ‘NoneType’ object has no attribute ‘update’
为什么使用相同的Python脚本会输出不同的错误？如何解决这个问题呢？
非常感谢！
附注：
- python: 3.5
- tensorflow: 1.10.1
- pandas: 0.23.4
- Ubuntu: 4.4.0-124-generic
回答：
找到了解决方法。
应该使用：clf = KerasClassifier(build_fn=get_model)
而不是：clf = KerasClassifier(build_fn=get_model())
