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Merged
Mec-iS merged 1 commit into from
Aug 25, 2026
Merged

Add LDA for supervised dimensionality reduction (#136) #456

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4 changes: 4 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -4,6 +4,10 @@ All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [0.6.13]
### Added
- `decomposition/lda.rs`: `LDA`, linear discriminant analysis for supervised dimensionality reduction (#136). It projects the data onto the directions that best separate the classes, keeping `min(n_classes - 1, n_features)` components by default, and implements the `Transformer` interface next to `PCA`. Directions match scikit-learn's `LinearDiscriminantAnalysis(solver="eigen")` up to sign.

## [0.6.12]
### Fixed
- `xgboost/xgb_regressor.rs`: `XGRegressor::fit` no longer panics when `subsample` is less than 1.0 on a small dataset (#444). The sample for each tree now keeps a minimum of one row, as scikit-learn does for its own `subsample` parameter. Sample sizes of one row or more are unchanged.
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