Tribuo is an open-source Java machine learning library for building, training, and deploying predictive models. It provides reliable implementations of classification, regression, clustering, and anomaly detection algorithms, utilities for model evaluation, and seamless integration into Java applications. Tribuo is lightweight and designed for both experimentation and production workflows.

Features of Tribuo:

• Implementations of modern ML algorithms for classification, regression, clustering, and anomaly detection.
• Core API for handling datasets, features, examples, and model serialization.
• Easy integration into Java applications and APIs for flexible usage.
• Well-documented with examples for fast prototyping and research.
• Utilities for training, evaluation, model saving/loading, and logging.
• Lightweight (runs from CLI / scripts; no web server required).
• Extensible — easy to add custom models, pipelines, and evaluation metrics.

To check Tribuo installation :

$ cd /opt/tribuo/Core

$ ls target/ | grep tribuo-core-

Disclaimer: Tribuo is open-source software provided under the Apache 2.0 license. It is offered "as is," without any warranty, express or implied. Users are responsible for ensuring the ethical and legal use of Tribuo in their projects.