Releases: AFM-analysis/PyJibe
Releases · AFM-analysis/PyJibe
PyJibe 0.15.1
- fix: properly deregister a model
- ref: remove iterative "sneddon_spher" model in developer mode
- setup: bump nanite from 4.0.0 to 4.1.1
PyJibe 0.15.0
- BREAKING CHANGE: Due to the upgrade of nanite, the rating values,
e.g. for the "zef18" dataset might change slightly (on average by
about 0.1). If you are excluding curves from your analysis based on
rating, please rerun your analysis.
- setup: bump nanite from 3.7.0 to 4.0.0 (support training sets that
contain nan-values for zero responses and infinity values; minor
other fixes)
PyJibe 0.14.3
- setup: bump afmformats from 0.16.7 to 0.18.0 (support for specifying
custom metadata when opening JPK files)
- ci: maintenance
PyJibe 0.14.2
- enh: support mirroring the input directory structure in the data
conversion tool (#29)
- docs: add info about data conversion tool
PyJibe 0.14.1
This is a maintenance release.
PyJibe 0.14.0
- feat: support baseline corrections with linear slope (drift or shift)
- ref: generalize the view of preprocessing insights
- ref: support multiple options for nanite preprocessors
- setup: bump nanite from 3.5.2 to 3.7.0
- setup: bump Python version to 3.10
PyJibe 0.13.4
- ref: don't use deprecated matplotlib.cm.get_cmap
- ref: use packaging.version.parse to compare versions
- ref: fix matplotlib deprecation warning for set_data
- tests: don't be so strict
PyJibe 0.13.3
- setup: bump afmformats from 0.16.4 to 0.16.7
- setup: bump nanite from 3.5.0 to 3.5.2
- setup: require Python 3.9
- ci: update build pipelines
- tests: loosen allclose call