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Thanks for your work, i think your work is a milestone work in lifelong machine learning.
But i run your code, the program does not seem to be running correctly.
And the log file is here:
session_0
session_1
session_2
session_3
session_4
The only place I modify the program is start_sess = 0
So why is the program like this?
The text was updated successfully, but these errors were encountered:
The session log files contain accuracy of the base model, not the meta-model. There is meta_test method of learner object, which trains the meta-model using the base model and memory buffer, then the accuracy is as presented in the paper (the accuracy is printed to console after training meta tasks step). I'm not sure what's the point of the session files though, as they don't give information about the meta-model at all, at first it was confusing for me as well.
Edit: I was running train_mnist.py, maybe on other datasets it's different
Thanks for your work, i think your work is a milestone work in lifelong machine learning.
But i run your code, the program does not seem to be running correctly.
And the log file is here:
session_0
session_1
session_2
session_3
session_4
The only place I modify the program is start_sess = 0
So why is the program like this?
The text was updated successfully, but these errors were encountered: