geffy/tffm
A TensorFlow implementation of arbitrary-order Factorization Machines for classification and regression tasks.
Not currently ranked — collecting fresh signals.
star history
This repository provides a TensorFlow-based implementation of Factorization Machines supporting arbitrary order interactions (>=2). It handles dense and sparse inputs, supports gradient-based optimization, and offers logistic and MSE loss functions for classification and regression. The library follows a scikit-learn-like interface for model training and evaluation.
Frequently asked
- What is geffy/tffm?
- A TensorFlow implementation of arbitrary-order Factorization Machines for classification and regression tasks.
- Is tffm open source?
- Yes — geffy/tffm is open source, released under the MIT license.
- What language is tffm written in?
- geffy/tffm is primarily written in Jupyter Notebook.
- How popular is tffm?
- geffy/tffm has 777 stars on GitHub.
- Where can I find tffm?
- geffy/tffm is on GitHub at https://github.com/geffy/tffm.