Dclab

Latest version: v0.59.1

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0.31.0

- feat: implement (generalized) linear mixed-effects models
via a wrapper around R/lme4 using rpy2 (install with extra
"lme4")

0.30.1

- fix: `new_dataset` attempts to load DCOR dataset when
given a non-existent path as a string (81)

0.30.0

- BREAKING CHANGE: drop support for Python 2 (34)
- feat: new machine learning (ML) submodule `dclab.ml`
- feat: implement ML model file format .modc (78)
- feat: add tensorflow helper functions for RT-DC data
- setup: bump numpy>=1.17.0
- ref: minor improvements of code readability
- tests: set global temp dir and remove it after testing

0.29.1

- enh: lift restrictions on valid options for [setup]:medium
(can now be any arbitrary string)

0.29.0

- feat: support the "image_bg" feature which contains the
rolling mean background image computed by Shape-In

0.28.0

- feat: new CLI command dclab-split to split a large dataset into
multiple smaller datasets

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