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Sparse hemodynamic deconvolution of fMRI data with scikit-learn compatible estimators.
pip install pyspfm
PyPI declares 52 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==0.6.2==0.6.2>=0.10.0>=1.22>=1.18.2>=0.4.0>=1.9.0The compact report shows 25 of 52 declarations. The interactive dependency graph loads the complete metadata.
pySPFM publishes 1 wheel and 1 source archive for version 2.0.3. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
PyPI lists 42 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .