Fitlins

Latest version: v0.11.0

Safety actively analyzes 629678 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

Page 4 of 4

0.0.6

-----------------------

Hotfix release.

* FIX: Explicitly create working directory (https://github.com/poldracklab/fitlins/pull/61)

0.0.5

-----------------------

* FIX: Limit NaN imputation and use mean non-zero value (https://github.com/poldracklab/fitlins/pull/57)

0.0.4

---------------------

* ENH: Allow models without non-HRF variables (https://github.com/poldracklab/fitlins/pull/55)
* ENH: Make dataset_description optional (https://github.com/poldracklab/fitlins/pull/51)
* ENH: Loop over preproc files, instead of raw BOLD files (https://github.com/poldracklab/fitlins/pull/50)
* ENH: Add --n-cpus option to CLI (https://github.com/poldracklab/fitlins/pull/49)
* ENH: Run datasinks on main thread (https://github.com/poldracklab/fitlins/pull/39)
* ENH: Enable derivative label to tag pipelines (https://github.com/poldracklab/fitlins/pull/37)
* ENH: Make dataset description (https://github.com/poldracklab/fitlins/pull/29)
* ENH: Add trivial dataset_description.json (https://github.com/poldracklab/fitlins/pull/31)
* ENH: Run auto model by default (https://github.com/poldracklab/fitlins/pull/26)
* ENH: Rewrite first level analysis as Nipype workflow (https://github.com/poldracklab/fitlins/pull/16)
* ENH: Add acq, rec, run and echo to output patterns (https://github.com/poldracklab/fitlins/pull/20)
* FIX: Second level contrast computation, and dense/sparse transformation issues (https://github.com/poldracklab/fitlins/pull/48)
* FIX: Include run in derivative names (https://github.com/poldracklab/fitlins/pull/43)
* FIX: Force string input to snake_to_camel (https://github.com/poldracklab/fitlins/pull/41)
* FIX: Versioneer adjustments (https://github.com/poldracklab/fitlins/pull/36)
* FIX: Create group level results dir (https://github.com/poldracklab/fitlins/pull/22)
* RF: Simplify entry-points, restore preproc discovery (https://github.com/poldracklab/fitlins/pull/38)
* MAINT: Update pybids 0.6.3, grabbit 0.2.1 (https://github.com/poldracklab/fitlins/pull/52)
* MAINT: Manage version with versioneer (https://github.com/poldracklab/fitlins/pull/35)
* MAINT: Neuroscout changes / pybids updates (https://github.com/poldracklab/fitlins/pull/28)
* MAINT: Add nipype dependency, remove unused code (https://github.com/poldracklab/fitlins/pull/27)

0.0.3

---------------------

Maintenance release

* Update grabbit (0.1.1), pybids (0.5.0) (11)
* Incorporate nistats/nistats165 (13)
* Update Dockerfile, versioning (14)

0.0.2

---------------------

Hotfix, addressing deployment issues.

0.0.1

---------------------

Initial release of FitLins, a BIDS-model fitting BIDS app.

Page 4 of 4

© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.