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

sample based on monte-carlo estimate of expected error reduction #166

Open
kjappelbaum opened this issue Jan 18, 2021 · 1 comment
Open

Comments

@kjappelbaum
Copy link
Owner

kjappelbaum commented Jan 18, 2021

Feature description

Sample using the technique described in Roy, N.; McCallum, A. Toward Optimal Active Learning through Monte Carlo Estimation of Error Reduction. 8.. The issue is that the paper only describes the sampling for classification, we'd need to see how to generalize to regression. An idea would be to heuristically just make histograms for y.

@kjappelbaum kjappelbaum added enhancement New feature or request feature_request labels Jan 18, 2021
@github-actions
Copy link
Contributor

Stale issue message

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

No branches or pull requests

1 participant