Pyntbci

Added
- Added `labels` to `stimplot` in `plotting`

Changed
- Changed `pinv` in `utilities` to work with non-square matrices

Fixed
- Fixed array `encoding_length` of `rCCA` in `classifiers`
- Fixed `smooth_width` of `CriterionStopping` in `stopping`
- Fixed 'stop_time_' of `CriterionStopping` in `stopping`
- Fixed `gamma_x` and `gamma_y` regularization of `CCA` in `transformers`

Added
- Added `min_time` to stopping methods in `stopping`
- Added `max_time` to `CriterionStopping` in `stopping`

Changed

Fixed
- Fixed fit exception in `DistributionStopping` in `stopping`

Added
- Added `tmin` to `encoding_matrix` in `utilities`
- Added `tmin` to `rCCA` in `classifiers`

Changed

Fixed

Added
- Added `find_neighbours` and `find_worst_neighbour` to `utilities`
- Added `optimize_subset_clustering` to `stimulus`
- Added `optimize_layout_incremental` to `stimulus`
- Added `stimplot` to `plotting`

Changed
- Changed order of tutorials and examples

Fixed
- Fixed `max_time` in all `stopping` classes to deal with "partial" segments

Added
- Added `ValueStopping` to `stopping`
- Added parameter `distribution` to `DistributionStopping` in `stopping`

Changed
- Changed `envelope_rms` to `rms` in `envelope`
- Changed `envelope_gammatone` to `gammatone` in `envelope`
- Changed `BetaStopping` in `stopping` to `DistributionStopping`

Fixed
- Fixed default `CCA` in `transformers` to `inv`, not `pinv`
- Fixed `seed` for `make_m_sequence` and `make_gold_codes` in `stimulus` to not be full zeros

Added

Changed

Fixed
- Fixed default `CCA` in `transformers` to `inv`, not `pinv`