Tribuo* is a machine learning library written in Java. It provides tools for classification, regression, clustering, model development, and more. It provides a unified interface to many popular third-party ML libraries like xgboost and liblinear. With interfaces to native code, Tribuo also makes it possible to deploy models trained by Python libraries (e.g. scikit-learn, and pytorch) in a Java program. Tribuo is licensed under Apache 2.0. Remove the uncertainty around exactly which artifacts you're using in production. Tribuo's Models, Datasets, and Evaluations have provenance, meaning they know exactly what parameters, transformations, and files were used to create them. Provenance data allows each model to be rebuilt verbatim from scratch and for evaluations to track the models and datasets used for each experiment.

Features

  • Prevent mistakes at compile time rather than discovering them in production
  • Break down the barriers between Java and native ML solutions
  • Tribuo provides interfaces to popular ML libraries such as XGBoost and Tensorflow.
  • It also supports the ONNX model exchange format
  • Tribuo's ONNX support allows you to deploy models built in other packages and languages
  • Many Tribuo models can also be exported in ONNX format for deployment elsewhere

Project Samples

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License

Apache License V2.0

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Additional Project Details

Programming Language

Java

Related Categories

Java Libraries, Java Machine Learning Software

Registered

2022-08-22