有部分代码不懂什么意思

[xq17307331726]

请问这个是什么意思？可以怎么解决？

Load the trained model

model = load_model('/content/drive/MyDrive/Model/CNN-BiLSTM-Attention_Model_Final.h5', custom_objects={"cc": cc, "Attention": Attention})

Load the history object

with open('/content/drive/MyDrive/Model/CNN-BiLSTM-Attention_history_Final.pkl', 'rb') as f: history = pickle.load(f)

[JeCase]

This code loads a pre-trained Keras model from a file located at '/content/drive/MyDrive/Model/CNN-BiLSTM-Attention_Model_Final.h5'.

• model = load_model(...)`: This line loads a Keras model from a file.

• '/content/drive/MyDrive/Model/CNN-BiLSTM-Attention_Model_Final.h5': This is the path to the file containing the pre-trained model. It's assumed that the model is saved in the Hierarchical Data Format (HDF5) format, which is commonly used for saving Keras models.

• custom_objects={"cc": cc, "Attention": Attention}: This parameter specifies custom objects that are required to load the model. In this case, the model may have been trained using custom loss or layer functions named 'cc' and 'Attention' respectively. These custom objects need to be provided so that Keras knows how to reconstruct the model.

The 'cc' function likely refers to a custom correlation coefficient function used as a metric during model training. The 'Attention' layer is a custom attention mechanism layer that may have been implemented as part of the model architecture.

Overall, this line of code loads a pre-trained Keras model along with any required custom objects, allowing you to use the model for predictions or further training.

Source : https://keras.io/getting_started/faq/#how-can-i-install-hdf5-or-h5py-to-save-my-models

[xq17307331726]

请问model = load_model('/content/drive/MyDrive/Model/CNN-BiLSTM-Attention_Model_Final.h5', custom_objects={"cc": cc, "Attention": Attention})这一行是指加载你在google中保存下来的模型吗？礼貌问，请问可以分享trained model和history object吗？

[lrflry]

m = Prophet() m.fit(viz) future = m.make_future_dataframe(periods=n_steps, freq='30 min', include_history=False) 你好，我在执行上面代码时出现报错AttributeError: 'Prophet' object has no attribute 'stan_backend'，是prophet库和pystan的版本问题吗？恳求解答