FACTORIE
A Scala toolkit for deployable probabilistic modeling using imperatively-defined factor graphs.
What is FACTORIE?
FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides a succinct language for creating relational factor graphs, estimating parameters, and performing inference, enabling practical application of probabilistic techniques in real-world scenarios.
Data scientists, machine learning engineers, and researchers working on probabilistic models, especially those needing scalable inference and parameter estimation in domains like natural language processing.
Developers choose FACTORIE for its imperative approach to factor graphs, fast implementations (e.g., LDA outperforms MALLET), and integrated NLP tools, making it a comprehensive library for production-ready probabilistic modeling.
Overview
FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.
Use Cases
Best For
- Building probabilistic models with relational factor graphs
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