llnl / llnl/Curvallis

Add fitting constraints

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Dominant language
Python
Stars
7
Forks
5
PR merge metrics
No merged PRs in 30d

Description

When doing a fit, sometimes the coefficients identified become completely ridiculous. Is there some way to add constraints to the fitting algorithm so it doesn't go crazy?

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue names no files, tests, fitting method, or constraint types. Start by locating the fitting algorithm and reviewing how coefficients are currently produced; clarify which constraints and expected behavior are wanted with the maintainers. Done should mean defined constraints prevent unreasonable coefficients and the behavior is covered by tests.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

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