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

Add complete error estimation framework #206

Open
ddmorgan opened this issue May 13, 2019 · 0 comments
Open

Add complete error estimation framework #206

ddmorgan opened this issue May 13, 2019 · 0 comments

Comments

@ddmorgan
Copy link

This should include error bars on each data point from

  1. Any CV being done: For all CV assessed data.
  2. Standard bootstrap (this should be option for full fit and any predicted data, maybe others) - see https://machinelearningmastery.com/a-gentle-introduction-to-the-bootstrap-method/
  3. Any errors from specific methods: GPR (note that only this one depends on only the x-values, not y)
  4. Any errors from specific methods: RFDTs
  5. A convex hull warning (on boundary or not): For any data point in full fit, CV, predicted data.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant