Releases
0.1.1
Bug fixes and improvements
MATLAB:
New functionality:
split_surfaces.m
surface_to_graph.m
load_group_mpc.m
Bug fixes:
Fixed a bug where the example data loaders failed when the BrainSpace
directory was not named "BrainSpace".
Matrix sparsification now correctly thresholds -inf.
The "Running with sparsity parameter..." message will now correctly
display with every kernel.
Fixed a bug where joint embedding of non-square matrices would fail.
plot_hemispheres will no longer error when using non-float data.
Other changes:
Optimized the spin_permutation code. It should now run substantially
faster, especially with a large number of permutations.
Improved several warning/error messages.
Moved execution of custom kernels to after the sparsification.
Python:
gradient:
Fix bug in alignment (remove centering and scaling)
Add support for procrutes alignment of one subject to reference in
GradientMaps
Remove dependency on _graph_is_connected from scikit-learn
datasets:
mesh:
Update build_polydata with new vtk_interface
Add downsample_with_parcellation to mesh_operations
Fixed a bug with mask for smooth_array and add support for
multicomponent arrays (columns). Smooth columns separately.
parcellation
Fixed a bug in find_label_correspondence
plotting:
Add plotting defaults
Add build_plotter
Update plot_surf
Remove numpy warning plot_hemispheres
vtk_interface:
Reorganize and add several wrappers
Update wrap_vtk to look for superclasses is BS wrapper doesn't exist
Add support for vtkSringArray and vtkVariantArray
Add vtype kwarg in decorators for unwarpping numpy to vtk abstractarray
Add support for dict arguments
Add automatic wrap/unwrap output/input of vtk methods
Add new repr
Add wrappers BSActor2D, BSScalarBarActor, BSTexturedActor2D, BSTextActor
Add AddScalarBarActor and AddTextActor methods for BSViewport
Add io_support from mesh here
tests:
Update tests with new vtk_interface
requirements:
Update to scikit-learn>=0.22.0
Remove pillow
ReadTheDocs:
Added matrix fusion example to tutorial 2.
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