-
Notifications
You must be signed in to change notification settings - Fork 648
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[DOC] Correct argument for optimizer ranger
in Temporal Fusion Transformer
tutorial
#1724
Conversation
Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
the notebook CI failed, looks like a timeout? I will restart
The issue was the training of the Also increased the timeout in the tests to 1200s due to the training time |
docs/source/tutorials/stallion.ipynb
Outdated
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
I'm unable to see this diff in Github (it saus unable to render rich diff), and ReviewNB also seems to lack the notebook.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Not sure why it's not working for me, but not a big deal. I checked it from branch it directly.
I am not what change of yours is making the predictions worse. In main
branch, the predicted orange line and shaded area seemed to contain the blue actuals pretty well, but in the modified one the gaps seem to have increased notably. Do you agree with observation? Any guess what's causing it (seed remained same at 42 in both cases)?
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
I'm not sure about the cause as I can see even the learning_rate got changed from 0.041
to 0.009
. I think I'll need to check the logs and see where it is going wrong
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
I rerun the notebook now the losses seems to have been reduced
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Great!
Question, non-blocking: can we perhaps change the examples that they are still meaningful, but have lower runtime?
Yeah, this sounds great we can do it. |
I think the best approach is to have a broader task for reworking the examples as the ones available now seem to be written a long time ago. With this we can ensure that we have low runtime working examples. |
fixes error in the tutorial which was causing examples to fail.
fixes #1722