如何序列化与Joblib一起使用的Keras模型？

Question

我尝试将Keras和joblib结合起来，以生成多个简单模型并将它们存储在一个数组中，这样我就可以在验证阶段投射探测样本。在

我用Joblib实现了一个Bootstrap聚合（Bagging）方法和几个简单的二进制神经网络模型。然而，我在尝试预测时遇到了以下错误：

Traceback (most recent call last):
File "../HFCN_openset_load.py", line 264, in <module>
main()
File "../HFCN_openset_load.py", line 107, in main
pr, roc = fcnhface(args, parallel_pool)
File "../HFCN_openset_load.py", line 194, in fcnhface
pred = models[k][0].predict(feature_vector.reshape(1, feature_vector.shape[0]))
File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 1004, in predict
if not self.built:
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 339, in built
return self._built
AttributeError: 'Sequential' object has no attribute '_built'

在下面，您将找到我认为错误可能在的部分代码：

^{pr2}$

指向完整文件的链接是正确的here