Issues
- 2
[DOC/API] make sure the default baselines do not induce systematic differences cov processing
#44 opened by dengemann - 9
- 0
[ENH/API] have a feature computing function that returns the covariance data frame
#42 opened by dengemann - 2
DOC: doc strings and examples are missing
#11 opened by dengemann - 0
ENH: do small website once examples are there
#28 opened by dengemann - 0
[ENH] add frequency band selector function to load different frequency band conventions
#41 opened by dengemann - 0
[ENH/API]: add support for kernel regressors
#43 opened by dengemann - 1
- 0
ENH: add CSP option and use as default when doing spatial filters for classification
#48 opened by dengemann - 0
[ENH/API]: example / support for applying recentering / scaling / transfer in CV-supportive fashion for multiple domains
#45 opened by dengemann - 3
- 1
ENH: Adding support for Polars
#40 opened by dengemann - 3
ENH/FIX: more canonical naming patterns
#10 opened by dengemann - 3
BUG: Deprecated MNE functions
#36 opened by sjg2203 - 1
- 0
ENH: do first release / make pypi package
#27 opened by dengemann - 0
API: expose covariance rank options
#30 opened by dengemann - 0
- 1
API: name of the repo
#8 opened by dengemann - 0
API: return value of compute_features
#23 opened by dengemann - 0
- 2
ENH: add more unit tests
#20 opened by dengemann - 2
API: compute_features should be more flexible
#15 opened by dengemann - 0
API: return value of make_pipelines
#6 opened by dengemann - 7
FIX: install is requiring sklearn 0.23
#4 opened by dengemann - 0
ENH/DOC: roadmap
#9 opened by dengemann - 0
ENH: ExpandFeatures tests
#7 opened by dengemann - 0
API: generalising expander class
#5 opened by dengemann