CHANGES
- [ENH] Clip outliers in FD and SPIKES group plots (#593)
- [ENH] Second revision of the classifier (#555):
- Set matplotlib plugin to
agg
in docker image - Migrate scalings to sklearn pipelining system
- Add Satra's feature selection for RFC (with thanks to S. Ghosh for his suggestion)
- Make model selection compatible with sklearn
Pipeline
- Multiclass classification
- Add feature selection filter based on Sites prediction (requires pinning to development sklearn-0.19)
- Add
RobustLeavePGroupsOut
, replaceRobustGridSearchCV
with the standardGridSearchCV
of sklearn. - Choice between
RepeatedStratifiedKFold
andRobustLeavePGroupsOut
inmriqc_clf
- Write cross-validation results to an
.npz
file.
- Set matplotlib plugin to
- [ENH] First revision of the classifier (#553):
- Add the possibility of changing the scorer function.
- Unifize labels for raters in data tables (to
rater_1
) - Add the possibility of setting a custom decision threshold
- Write the probabilities in the prediction file
- Revised
mriqc_clf
processing flow - Revised labels file for ds030.
- Add IQMs for ABIDE and DS030 calculated with MRIQC 0.9.6.
- ANNOUNCEMENT: Dropped support for Python<=3.4
- WARNING (#596):
We have changed the default number of threads for ANTs. Using parallelism with ANTs
causes numerical instability on the calculated measures. The most sensitive metrics to this
problem are the kurtosis calculations on the intensities of regions and qi_2.