4.4.1 Patch release

This release is identical to 4.4.0 release, except for the following hotfix:

• Make scikit-learn optional again: #596

4.4.0 Release

Update: Use 4.4.1 release instead, to take advantage of the hotfix (#596)

What's Changed

• Make the lib compilable for gcc 14 by @dovahcrow in #582
• Use public API of IsolationForest by @hcho3 in #583
• Use latest pylint + Remove outdated docstring by @hcho3 in #586
• Add ability to export as sklearn RF by @hcho3 in #587
• Check Library/bin path exists before adding dll directory by @daara-s in #590
• Fix missing includes by @hcho3 in #591

New Contributors

• @daara-s made their first contribution in #590

Full Changelog: 4.3.0...4.4.0

4.3.0 Release

What's Changed

• Compatibility patch for latest RapidJSON by @hcho3 in #567
• Test with latest XGBoost by @hcho3 in #572
• [GTIL] Allow inferencing with FP32 input + FP64 model by @hcho3 in #574
• Update edit.rst by @stephenpardy in #576
• Support XGBoost UBJSON by @hcho3 in #578
• Use DFS to get a valid but smaller new node order by @tmct in #570

New Contributors

• @stephenpardy made their first contribution in #576
• @tmct made their first contribution in #570

Full Changelog: 4.2.1...4.3.0

Patch release 4.2.1

What's Changed

This release is identical to 4.2.0 release, except for the following hotfixes:

• Apply hotfix from 4.1.0 release (#568)
• Compatibility patch for latest RapidJSON (#567)

Full Changelog: 4.2.0...4.2.1

4.2.0 Release

What's Changed

• Update outdated docstrings by @hcho3 in #556
• Support NumPy 2.0 (fixes #560) by @jameslamb in #562
• Handle deleted nodes in XGBoost by @hcho3 in #564

New Contributors

• @jameslamb made their first contribution in #562

Full Changelog: 4.1.2...4.2.0

Patch Release 4.1.2

This patch release is identical to 4.1.0, save for the following fixes:

• Don't load libtreelite.so with symbols visible globally. This breaks downstream packages that embeds Treelite as a library. Global visibility should only be enabled for special environments such as Conda.

Patch release 4.1.1

This patch release is identical to 4.1.0, save for the following fixes:

• Restore support for Python 3.8
• PyPy compatibility patch
• Load libtreelite.so with symbols visible globally

4.1.0 Release

We are excited to announce Treelite 4.1.

What's Changed

• Don't fetch GTest if it's found by CMake by @trxcllnt in #539
• Fix the GTest target name case by @trxcllnt in #541
• Restore support for old binary XGBoost models by @hcho3 in #547
• Enable configuration for custom libpath by @hcho3 in #543
• Clarify output dimensions of GTIL by @hcho3 in #548
• [Breaking] Set 1st dim of prediction output to be row ID by @hcho3 in #549
• Fix GTIL if input does not have sufficient number of columns by @hcho3 in #550
• Support sparse inputs in GTIL by @hcho3 in #551
• Support multi-class, multi-output RandomForestClassifier by @hcho3 in #552
• Fix categorical data handling for HistGradientBoosting in scikit-learn 1.4.0+ by @hcho3 in #553

New Contributors

• @trxcllnt made their first contribution in #539

Full Changelog: 4.0.0...4.1.0

4.0.0 Release

We are excited to announce Treelite 4.0.

What's new

• Native support for multi-target models
• Complete support for XGBoost 2.0, including vector-leaf trees (multi_strategy="multi_output_tree")
• Greater variety of scikit-learn estimators, including HistGradientBoostingRegressor and HistGradientBoostingClassifier.
• Vector base_scores, to support boosting from the average
• Brand-new model builder API with built-in model validation
• Ability to edit trees using field accessor API
• We now provide a pre-built binary wheel targeting ARM64 (aarch64) architecture.

Bug fixes

• Fix base_scores for sklearn GradientBoostingClassifier by @hcho3 in #536
• Fix model concatenation by @hcho3 in #538
• Don't fetch GTest if it's found by CMake by @trxcllnt in #540

Breaking change

• The compiler (C codegen) module has been removed from Treelite. You may use TL2cgen for equivalent functionalities. See the migration guide.

Treelite 4.0.0 Release Candidate 1

We are excited to announce a Release Candidate for Treelite 4.0.

What's new

• Native support for multi-target models
• Complete support for XGBoost 2.0, including vector-leaf trees (multi_strategy="multi_output_tree")
• Greater variety of scikit-learn estimators, including HistGradientBoostingRegressor and HistGradientBoostingClassifier.
• Vector base_scores, to support boosting from the average
• Brand-new model builder API with built-in model validation
• Ability to edit trees using field accessor API

Breaking change

• The compiler (C codegen) module has been removed from Treelite. You may use TL2cgen for equivalent functionalities. See the migration guide.

How to install and test Release Candidate

• Pip: pip install treelite==4.0.0rc1
• Conda: conda install -c conda-forge/label/treelite_rc treelite=4.0.0rc1

Full Changelog: 3.9.1...4.0.0rc1