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Python package that analyses the given datasets and comes up with the best regression representation with either the smallest polynomial degree possible, to be the most reliable without overfitting or other models such as exponentials and logarithms
pip install polynomial-regression-model
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
polynomial-regression-model publishes 1 wheel and 1 source archive for version 3.1.4. Wheel platform tags: any.
Declared Python classifiers: 3.9.
PyPI does not currently declare: Python requirement, license. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 11 releases with files. The first dated release is ; 11 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .