Implement automatic model calibration#238
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…atLabRockies#199) * Adding at the root level for now; could consider moving to utilities/ * Ruff. * precommit stuff. * Add example notebook * Add wide to long * Add test * Update README.md engagement * Update README.md replacing 'FLORIS' typo * Feature/add docstrings (NatLabRockies#197) * Update to 15 (NatLabRockies#202) * Update for PyPI installation. (NatLabRockies#204) * Update version number; ignore version.py for ruff. * Adhere to FLASC formatting rules. * psuedocode for conversions. Tests for saving dataframe to file. * Print warning when to_feather used. * String formatting. * Add several more tests and n_turbines property. * Adding TODOs for long/wide conversions. * Clean up, a few more tests. * Improved printout. * ruff format. --------- Co-authored-by: Paul <paul.fleming@nrel.gov> Co-authored-by: christiannvaughn <139596563+christiannvaughn@users.noreply.github.com>
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First follow-up comment is the ResultsAnalysis is out |
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@paulf81 regarding the |
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@misi9170 on |
I guess I'm not really seeing what it's adding compared to just actually instantiating a |
Ok, I'll kill it |
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Also I tracked down the parallel thing, in very early versions of things, we were converting all Question for you @misi9170, do you think useful to include a parallel example that does use |
On second thought I found where it's used in the |
Implement automatic model calibration
This pull request adds a new class to FLASC:
ModelFit. Currently under development the new class implements a new paradigm for automatic model calibration. The PR includes new examples and will include additional documentation.Checklist of work to go:
Review of changes
Unrelated linting-type changes that got grouped in
Flying below the radar
results_analysis.py, which was useful for conducting analysis of results generated from model_fit in other projects in included but not yet linked into any examples or docs. This is probably ok for this first pass.Feature or improvement description
This PR replaces #213