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A lightweight binary image classification system built with scikit‑learn, focusing on k‑Nearest Neighbors (kNN) and classical ML models. It features dynamic, model‑aware image preprocessing (HOG, scaling, PCA) that adapts automatically to image characteristics, enabling efficient
pip install dynamicml
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.21>=1.7>=1.2>=0.19>=4.6>=1.2dynamicml publishes 1 wheel and 1 source archive for version 1.1.6. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.
PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
4 historical releases are fully yanked in PyPI metadata.