Factual package intelligence from PyPI
Implementation of the gradient-based t-SNE attribution method described in our GLBIO oral presentation: 'Towards Computing Attributions for Dimensionality Reduction Techniques'
pip install interpretable-tsne
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.23.0>=1.5.0>=1.19.2interpretable-tsne publishes 1 wheel and 1 source archive for version 0.0.4. Wheel platform tags: manylinux_2_17_x86_64.manylinux2014_x86_64.
No version-specific Python classifiers are declared.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .