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'.
149 stars. No commits in the last 6 months.
Use this if you need transparent, explainable AI models for tasks like image recognition, text classification, or predicting outcomes from tabular data.
Not ideal if you prioritize raw predictive power over model interpretability, or if you are working with extremely large, high-dimensional datasets where speed is the absolute top priority.
Stars
149
Forks
32
Language
C
License
MIT
Category
Last pushed
Apr 01, 2025
Commits (30d)
0
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