llnl / llnl/Curvallis

Document each fitter

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Dominant language
Python
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7
Forks
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Description

Currently if a fitter cannot convert you get this message:
"""
Unable to guess coefficients, using defaults.
Coefficient Guesses: 100000000000.0 20.0 7.81
Was unable to find a reasonable fit.
Please try to find better guesses for all this fit_type's parameters.
"""
This is OK, but it would be nice if we could list what those fit parameters are. Then the user wouldn't have to look them up.
Information about the coeffience guesses would be good too, which parameters do those guesses pertain to?

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First steps

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  4. Open a pull request that references the issue number.

Research direction

Start with the fitter error output and the definitions for each fit_type's parameters. Document which parameters the coefficient guesses correspond to and include those names when a fit fails. Done means users can identify the fitted parameters and interpret the displayed guesses without looking them up elsewhere.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
documentation
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
38/100

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