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A Python list scoring algorithm. Analyse data file using a range based procentual proximity algorithm and calculate the linear maximum likelihood.
pip install scalg
PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
scalg publishes 1 wheel and 1 source archive for version 0.1.5.3. Wheel platform tags: any.
Declared Python classifiers: 3.6, 3.7, 3.8, 3.9.
PyPI lists 8 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .