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CountEst is a module containing the implementation of count-based estimators, i.e., supervised learning algorithms that make predictions based on the frequency or count of specific events, categories, or values within a dataset.
pip install countest
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.5>=1.1.5>=0.20.0countest publishes 1 wheel and 1 source archive for version 0.1.5. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.
PyPI lists 6 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 .