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Construct epsilon-machines to generate symbol sequences with ground truth causal structure and information-theoretic complexity for studying neural network learning dynamics.
pip install a-machine
PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.21>=9.2.0>=1.14.0>=16.0.0>=2.12.0>=9.13.0a-machine publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: manylinux_2_34_x86_64.
No version-specific Python classifiers are declared.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .