TsetlinMachine and pyTsetlinMachine
About TsetlinMachine
cair/TsetlinMachine
Code and datasets for the Tsetlin Machine
This project helps you classify data and understand the underlying decision rules using a method called a Tsetlin Machine. You provide it with data that has been converted into Boolean (true/false) features, and it outputs clear, interpretable 'if-then' rules for classification. This is useful for anyone who needs to make decisions based on patterns in data and explain how those decisions are made.
About pyTsetlinMachine
cair/pyTsetlinMachine
Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget
This tool helps researchers and data scientists build clear and interpretable classification and regression models. You input numerical or categorical data, and it outputs predictions along with logical rules that explain how those predictions were made. It's designed for anyone who needs to understand the 'why' behind their model's decisions, not just the 'what'.
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