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

Sort for similarity with training data #168

Open
dlangenk opened this issue Apr 26, 2024 · 1 comment
Open

Sort for similarity with training data #168

dlangenk opened this issue Apr 26, 2024 · 1 comment

Comments

@dlangenk
Copy link
Member

In the annotation candidates step it would be nice if you could see candidates similar to the training data at the top. This is especially useful if prediction results are bad.

This could be achieved in different ways:

  1. Just randomly select one/few training samples and use the already implemented similarity search
  2. Show a sidescrolling list of all training samples at the top and allow to pin them
  3. Use clustering to find possible classes and then do 1) for each cluster
  4. Use techniques similar to active learning, i.e. search for training samples that are very different from each other and then do 1)
  5. Something even more sophisticated
@mzur
Copy link
Member

mzur commented Apr 26, 2024

I like the idea if it is implemented as optional feature.

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

No branches or pull requests

2 participants