Skip to content

[WIP] dimension reduction playground #360

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

Open
wants to merge 24 commits into
base: main
Choose a base branch
from
Open

Conversation

odunbar
Copy link
Member

@odunbar odunbar commented May 9, 2025

Purpose

To-do

Content


  • I have read and checked the items on the review checklist.

Copy link

codecov bot commented May 9, 2025

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 88.95%. Comparing base (b84a7f9) to head (1126784).
Report is 1 commits behind head on main.

Additional details and impacted files
@@           Coverage Diff           @@
##             main     #360   +/-   ##
=======================================
  Coverage   88.95%   88.95%           
=======================================
  Files           7        7           
  Lines        1358     1358           
=======================================
  Hits         1208     1208           
  Misses        150      150           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

@ArneBouillon
Copy link
Collaborator

After the refactor:

  • We now have both a linear-exponential and a Lorenz test case
  • We can compare the reduced posteriors using either EKS or MCMC
  • The settings have been centralised in the file settings.jl
  • Data and figure files are in their own folders, to keep everything clean
  • I changed the .jl files to start with step1, step2, and step3, to hopefully make the code easier to approach

@ArneBouillon
Copy link
Collaborator

ArneBouillon commented Jun 5, 2025

I currently changed the projection from/to the reduced spaces to purely using U_r/U_r'/V_r/V_r'.

I believe this is equivalent to what we did before, except for setting the coefficients of the "small" eigenvectors to zero instead of setting them to the corresponding (small) eigenvalues. I'm not sure which makes more sense.

We can change it back if you think the old way was better!

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

Successfully merging this pull request may close these issues.

2 participants