Fix behavior of weights in global fitting #171
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… fix scaling of output fit signals and UQ, fix plotting
stestoll
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May 4, 2021
luisfabib
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* deploy_ghpages.yml: add missing dependency (#161) * Bump VERSION to v0.14.0-dev (#162) * bump VERSION to 0.14.0-dev * add Python 3.9 to conda build * Removed Ctot from second order term in chemicalequalibrium polynomial (#163) * Fix prescaling of data and vanishing confidence intervals in `snlls` (#166) * parse_multidatasets: fix bug in parsing so that prescaling works also for single signals * tests: fix snlls test * fitregmodel: adapt to changes in parse_multidatasets * tests: refactor test as relative assertion * Update README.md (#167) * deerload: Fix bug when loading BES3T files with entries in manipulation history layer (#164) * deerload: fix bug when loading BES3T files with entries in manipulation history layer * add unit tests for deerload * deerload: fix error in parsing of XGF files * rename test data files consistently * fix tests Co-authored-by: Stefan Stoll <stestoll@users.noreply.github.com> * Fix behavior of weights in global fitting (#171) * fitregmodel: fix behaviour of weights in global fitting * fitparamodel: add test for global weights behaviour * lsqcomponents: fix usage of global weights * fitmultimodel: fix behaviour of weights in global fitting * fitmultimodel: return list of fitted signals instead of single array, fix scaling of output fit signals and UQ, fix plotting * fitmultimodel: fix scaling issue in global fitting * snlls: fix behaviour of weights in global fitting * fitmodel: add tests to check behaviour of weights in global fitting * fitmultimodel: fix error when plotting single dataset fits * fitmultimodel: fix bug in plottin of single dataset fits * fitmultimodel: fix error in previous commit * fitmodel: Fix uncertainty quantification when fitting dipolar evolution functions (#172) * fitmodel: fix errors in uncertainty quantification for dipolar evolution functions * modify tests that missed the error * fitmodel: fixed error found by tests * fitparamodel: fix scale of output fit.model and its uncertainty (#173) * snlls: allow `extrapenalty` to take linear parameters as input (#175) * snlls: allow `extrapenalty` to take linear parameters as input * snlls: fix order of concatenation of Jacobians * Optimize default weights in global fitting according to the datasets noise levels (#174) * optimize default weights in global fitting according to the datasets noise levels * add tests * fix bug in calculation of default weights for arbitrary scales * refactor DER_SNR method, add reference Co-authored-by: Stefan Stoll <stestoll@users.noreply.github.com> * VERSION: bump to v0.13.1 * CHANGELOG: update for v0.13.1 * CHANGELOG: minor edits * fix GHA to run on a PR to merge into any branch * fix GHA to run docs CI on PR to merge into any branch Co-authored-by: Maxx Tessmer <mhtessmer@gmail.com> Co-authored-by: Stefan Stoll <stestoll@users.noreply.github.com>
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Corrects the behavior of weights in global fitting when specifying them and some related issues with scaling of the datasets.
Closes #168