neural-disaggregator
neural-disaggregator copied to clipboard
OdysseasKr
I'm not good at programming. I hope you can give me some guidance
Hello! Thank you for your contribution. I would like to know how to add loss visualization function in RNN network. I would like to observe its fitting
Hello!
Since the models are built using Keras, you can get easily get the loss value per epoch. The model.fit function returns a History object containing all losses. You can then plot them with a few modifications in the code.
You can take a look at this blog post from Machine Learning Mastery that explains the whole process.
I have learned this blog, but model.fit () requires numpy Array or List for data types of X and y. Train_mains, train_meter in your code does not belong to this type. How can I transform the type
In order to work with the Keras function, you need to modify the RNN disaggregator, not just the code that calls it.
Take a look at https://github.com/OdysseasKr/neural-disaggregator/blob/master/RNN/rnndisaggregator.py#L95 for the RNN.
This line
self.model.fit(mainchunk, meterchunk, epochs=epochs, batch_size=batch_size, shuffle=True)
receives two numpy arrays (mainchunk and meterchunk). This function returns the history object that you can use.