Welcome to PyTSK’s documentation!
PyTSK is a package for conveniently developing a TSK-type fuzzy neural networks. It’s dependencies are as follows:
Scikit-learn [Necessary] for machine learning operations.
Numpy [Necessary] for matrix computing operations.
Scipy [Necessary] for matrix computing operations.
PyTorch [Necessary] for constructing and training fuzzy neural networks.
Faiss [Optional] a faster version for k-means clustering.
To run the code in quick start, you also need to install the following packages:
PMLB for downloading datasets.