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@@ -3,6 +3,36 @@ XGBoost Change Log
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This file records the changes in xgboost library in reverse chronological order.
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## v0.72 (2018.06.01)
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* Starting with this release, we plan to make a new release every two months. See #3252 for more details.
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* Fix a pathological behavior (near-zero second-order gradients) in multiclass objective (#3304)
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* Tree dumps now use high precision in storing floating-point values (#3298)
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* Submodules `rabit` and `dmlc-core` have been brought up to date, bringing bug fixes (#3330, #3221).
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* GPU support
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- Continuous integration tests for GPU code (#3294, #3309)
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- GPU accelerated coordinate descent algorithm (#3178)
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- Abstract 1D vector class now works with multiple GPUs (#3287)
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- Generate PTX code for most recent architecture (#3316)
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- Fix a memory bug on NVIDIA K80 cards (#3293)
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- Address performance instability for single-GPU, multi-core machines (#3324)
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* Python package
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- FreeBSD support (#3247)
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- Validation of feature names in `Booster.predict()` is now optional (#3323)
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* Updated Sklearn API
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- Validation sets now support instance weights (#2354)
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- `XGBClassifier.predict_proba()` should not support `output_margin` option. (#3343) See BREAKING CHANGES below.
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* R package:
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- Better handling of NULL in `print.xgb.Booster()` (#3338)
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- Comply with CRAN policy by removing compiler warning suppression (#3329)
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- Updated CRAN submission
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* JVM packages
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- JVM packages will now use the same versioning scheme as other packages (#3253)
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- Update Spark to 2.3 (#3254)
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- Add scripts to cross-build and deploy artifacts (#3276, #3307)
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- Fix a compilation error for Scala 2.10 (#3332)
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* BREAKING CHANGES
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- `XGBClassifier.predict_proba()` no longer accepts paramter `output_margin`. The paramater makes no sense for `predict_proba()` because the method is to predict class probabilities, not raw margin scores.
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## v0.71 (2018.04.11)
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* This is a minor release, mainly motivated by issues concerning `pip install`, e.g. #2426, #3189, #3118, and #3194.
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With this release, users of Linux and MacOS will be able to run `pip install` for the most part.
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