Tribuo v4.0.2 Release Notes

This is the first Tribuo point release after the initial public announcement. It fixes many of the issues our early users have found, and improves the documentation in the areas flagged by those users. We also added a couple of small new methods as part of fixing the bugs, and added two new tutorials: one on columnar data loading and one on external model loading (i.e. XGBoost and ONNX models).

Bugs fixed:

• Fixed a locale issue in the evaluation tests.
• Fixed issues with RowProcessor (expand regexes not being called, improper provenance capture).
• IDXDataSource now throws FileNotFoundException rather than a mysterious NullPointerException when it can’t find the file.
• Fixed issues in JsonDataSource (consistent exceptions thrown, proper termination of reading in several cases).
• Fixed an issue where regression models couldn’t be serialized due to a non-serializable lambda.
• Fixed UTF-8 BOM issues in CSV loading.
• Fixed an issue where LibSVMTrainer didn’t track state between repeated calls to train.
• Fixed issues in the evaluators to ensure consistent exception throwing when discovering unlabelled or unknown ground truth outputs.
• Fixed a bug in ONNX LabelTransformer where it wouldn’t read pytorch outputs properly.
• Bumped to OLCUT 5.1.5 to fix a provenance -> configuration conversion issue.

New additions:

• Added a method which converts a Jackson ObjectNode into a Map suitable for the RowProcessor.
• Added missing serialization tests to all the models.
• Added a getInnerModels method to LibSVMModel, LibLinearModel and XGBoostModel to allow users to access a copy of the internal models.
• More documentation.
• Columnar data loading tutorial.
• External model (XGBoost & ONNX) tutorial.

Dependency updates:

• OLCUT 5.1.5 (brings in jline 3.16.0 and jackson 2.11.3).

Tribuo v4.0.1 Release Notes

This release fixes a few issues we found in the tutorials just before launch.

The IDXDataSource was added as an alternative way to load MNIST as the LibSVM website (which the tutorial was originally based on) was intermittently down during our pre-launch period.

• Fixes an issue where the CSVReader wouldn’t read files with extraneous newlines at the end.
• Adds an IDXDataSource so we can read IDX (i.e. MNIST) formatted datasets.
• Updated the configuration tutorial to read MNIST from IDX files rather than libsvm files.

Tribuo v4.0 Release Notes (Initial Public Release)

This is the first public release of the Tribuo Java Machine Learning library. Tribuo provides classification, regression, clustering and anomaly detection algorithms along with data loading, transformation and model evaluation code. Tribuo also provides support for loading external ONNX models and scoring them in Java as well as support for training and evaluating deep learning models using TensorFlow.

Tribuo’s development started in 2016 led by Oracle Labs’ Machine Learning Research Group, and has been in production inside Oracle since 2017. It’s now available under an Apache 2.0 license, and we’ll continue to develop it in the open, including accepting community PRs under the Oracle Contributor Agreement.

See tribuo.org for a project overview, or explore the docs here on Github for more details. We have jupyter notebook based tutorials demonstrating various features of the library.