« Changelog History


xgboost v0.72 Release Notes

Release Date: 2018-06-01 // almost 6 years ago
    • 🚀 Starting with this release, we plan to make a new release every two months. See #3252 for more details.
    • 🛠 Fix a pathological behavior (near-zero second-order gradients) in multiclass objective (#3304)
    • Tree dumps now use high precision in storing floating-point values (#3298)
    • 🛠 Submodules rabit and dmlc-core have been brought up to date, bringing bug fixes (#3330, #3221).
    • 👍 GPU support
      • Continuous integration tests for GPU code (#3294, #3309)
      • GPU accelerated coordinate descent algorithm (#3178)
      • Abstract 1D vector class now works with multiple GPUs (#3287)
      • Generate PTX code for most recent architecture (#3316)
      • Fix a memory bug on NVIDIA K80 cards (#3293)
      • Address performance instability for single-GPU, multi-core machines (#3324)
    • 📦 Python package
      • FreeBSD support (#3247)
      • Validation of feature names in Booster.predict() is now optional (#3323)
    • ⚡️ Updated Sklearn API
      • Validation sets now support instance weights (#2354)
      • XGBClassifier.predict_proba() should not support output_margin option. (#3343) See BREAKING CHANGES below.
    • 📦 R package:
      • Better handling of NULL in print.xgb.Booster() (#3338)
      • Comply with CRAN policy by removing compiler warning suppression (#3329)
      • Updated CRAN submission
    • 📦 JVM packages
      • JVM packages will now use the same versioning scheme as other packages (#3253)
      • Update Spark to 2.3 (#3254)
      • Add scripts to cross-build and deploy artifacts (#3276, #3307)
      • Fix a compilation error for Scala 2.10 (#3332)
    • 💥 BREAKING CHANGES
      • 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.