GPflow is not predicting classes
See original GitHub issueI have been stuck in this for long now. I have put the question on stack overflow. Question . I really need help with predict _y
and predict _f
. I trained GP model well and I checked the parameters after training but model does not predict at all during deployment with GP checkpoints.
Issue Analytics
- State:
- Created 3 years ago
- Comments:9 (4 by maintainers)
Top Results From Across the Web
Prediction is slower than I would expect · Issue #1003 - GitHub
0. It takes 10ms to call predict_y on my SGPR model. There are 30 inducing points, the input dimensionality is 8, and the...
Read more >GPFlow model gives bad predictions on test set - Stack Overflow
I set one parameter not trainable, because my model gave bad prediction on both test & train sets. Now I have very bad...
Read more >GPflow manual - Read the Docs
You can use this document to get familiar with GPflow. We've split up the material into four different categories: basics, understanding, advanced needs, ......
Read more >Basic (binary) GP classification model - GPflow Documentation
This notebook shows how to build a GP classification model using variational inference. Here we consider binary (two-class, 0 vs. 1) classification only...
Read more >Predicting molecular properties with GPflow | by TDS Editors
Even if you are looking for your first data science gig, I would caution you not to blindly jump at the first offer...
Read more >
Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free
Top Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
To add a suggestion to this: If you are worried about loading/saving checkpoints… Perhaps you can create a minimum example that trains a tiny model on a toy dataset, that stores and then restores the model.
If this doesn’t work, then this is a minimal example that we can help with.
I’m afraid we don’t have time to run other people’s code unless it is a minimal example. Breaking your problem down into the smallest chunk that still reproduces your issue is work, but that is work that you need to carry out. You’re welcome to re-open this issue with an actually reproducible minimal example.