Comments (4)
Yeh, I thought about adding a logger. It gets non-trivial to report when running in parallel though, so I didn't bother for now.
Running such large FOOOFGroups is probably something of an edge case, so what I do is (if I'm running multiple FG's) is print reports per group, but not internally.
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Understandable.
This seems to only a problem when I run FOOOF over a large frequency range (or dense frequency sampling), so it takes a long time, which probably isn't best.
Not an issue now that I've limited my frequency range more.
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Work in progress (almost there, I think) on this now available on 'progbar' branch.
Available to try out if anyone wants.
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Merged in #112
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Related Issues (20)
- Notes on linear vs log power & units of different parameters / settings HOT 1
- [ENH]: Sliding window: Use previous params as guesses for next fit
- Run modes HOT 4
- Consider checking / changing default values HOT 1
- Developing a system for benchmarking
- bug report: AttributeError: 'FOOOF' object has no attribute 'to_df' HOT 2
- units/scaling for PW and min_peak _height? HOT 3
- Weird fitting when upper bound frequency is higher than 100 Hz. HOT 2
- Bug report: tutorial about Example Power Spectra and Models HOT 2
- Alternative Knee Model HOT 1
- get_params not working due to inhomogeneities in FOOOFGroup HOT 10
- fooof v.1.1 not yet updated on conda forge HOT 7
- Problem on retrieving aperiodic and peak data from Group object with get_data HOT 1
- [Question] ERROR regarding Lower-bound peak width limit is < or ~= the frequency resolution: 1.00 <= 1.00 HOT 2
- specparam - FOOOF confusion HOT 3
- [ENH] to_df to also return the gaussian parameters HOT 6
- Parts of the original spectrum are below the aperiodic fit HOT 1
- Finalizing 2.0 release plan
- Top of the Specpram 2.0.0rc2 documentation page not adjusting properly HOT 6
- Specparam2rc doc buggy example HOT 1
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