scipp / scipp/ess

Add `loss` selection for fitting(in the scaling step)

Open
#219 2 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

essnmx
Dominant language
Python
Stars
1
Forks
3
Avg merge
2d 11h
Merged PRs (30d)
17

Description

@jokasimr suggested trying different loss functions for fitting.
Maybe it'll be convenient if a user can choose loss functions as well.

Contributor guide

Open the contributing guide

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

No file, test, or entry point is named. Start by locating the fitting code used in the scaling step and determine how fitting options are currently exposed; done means a user can choose the loss function used for fitting.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.