Lightweight preprocessing and reversible Modular Linear Tokenization (MLT) utilities for categorical and continuous data.
Project description
🧩 light-mlt
🧩 light-mlt
Lightweight preprocessing and reversible Modular Linear Tokenization (MLT) utilities for categorical and continuous data.
✨ Overview
light-mlt implements Modular Linear Tokenization (MLT) — a deterministic and reversible method for encoding high-cardinality categorical identifiers into compact numerical vectors.
Unlike hashing or one-hot encodings, MLT guarantees bijective mappings, provides explicit dimensionality control, and integrates seamlessly with machine learning pipelines.
It was developed as part of applied research on scalable tokenization and efficient preprocessing for tabular and recommendation systems.
🚀 Installation
pip install light-mlt
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