Skip to content
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

How to evaluate the performance of the training set in the TimeGPT Model? #370

Closed
kestlermai opened this issue May 18, 2024 · 2 comments
Closed
Assignees
Labels

Comments

@kestlermai
Copy link

Hey there, as a newbie diving into the TimeGPT tutorials (https://docs.nixtla.io/docs/getting-started-timegpt_quickstart), I've only come across performance evaluation for predictions, but I'm missing out on how to assess the trained models themselves. This has got me curious!
If you could guide me through it, I would really appreciate it!

@kestlermai kestlermai changed the title How to evaluate the performance of the training set in the TimeGPT Model How to evaluate the performance of the training set in the TimeGPT Model? May 18, 2024
@elephaint elephaint self-assigned this May 28, 2024
@elephaint
Copy link
Contributor

elephaint commented May 28, 2024

Thanks for using TimeGPT! We currently don't provide direct access to the underlying models.

Hope this helps.

@kestlermai
Copy link
Author

Thank you for your reply

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Projects
None yet
Development

No branches or pull requests

2 participants