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Autoencoder based iterative modeling and multivariate time-series subsequence clustering algorithm (ABIMCA)
pip install abimca
PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.12.1,<2.0.0>=1.4.3,<2.0.0>=1.23.2,<2.0.0>=3.5.3,<4.0.0>=1.9.0,<2.0.0>=1.1.2,<2.0.0>=4.64.0,<5.0.0>=15.0.1,<16.0.0abimca publishes 1 wheel and 1 source archive for version 0.2.5. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.9.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .