./math/py-xgboost, XGBoost Python Package

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Branch: CURRENT, Version: 2.1.3, Package name: py312-xgboost-2.1.3, Maintainer: pkgsrc-users

XGBoost is an optimized distributed gradient boosting library designed to be
highly efficient, flexible and portable. It implements machine learning
algorithms under the Gradient Boosting framework. XGBoost provides a parallel
tree boosting (also known as GBDT, GBM) that solve many data science problems
in a fast and accurate way. The same code runs on major distributed environment
(Kubernetes, Hadoop, SGE, Dask, Spark, PySpark) and can solve problems beyond
billions of examples.

Master sites:

Filesize: 1064.771 KB

Version history: (Expand)

CVS history: (Expand)


   2025-01-06 12:37:27 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-xgboost: updated to 2.1.3

2.1.3

[pyspark] Support large model size
Fix rng for the column sampler
Handle cudf.pandas proxy objects properly

2.1.2

Clean up and modernize release-artifacts.py
Fix ellpack categorical feature with missing values.
Fix unbiased ltr with training continuation.
Fix potential race in feature constraint.
Fix boolean array for arrow-backed DF.
Ensure that pip check does not fail due to a bad platform tag
Check cub errors
Limit the maximum number of threads.
Fixes for large size clusters.
POSIX compliant poll.h and mmap
   2024-10-14 08:46:10 by Thomas Klausner | Files touched by this commit (325) 
Log message:
*: clean-up after python38 removal
   2024-08-04 15:05:59 by Adam Ciarcinski | Files touched by this commit (4) | Package updated
Log message:
py-xgboost: updated to 2.1.1

The 2.1.1 patch release make the following bug fixes:

[Dask] Disable broadcast in the scatter call so that predict function won't hang
[Dask] Handle empty partitions correctly
Fix federated learning for the encrypted GRPC backend
Fix a race condition in column splitter
Gracefully handle cases where system files like /sys/fs/cgroup/cpu.max are not \ 
readable by the user
Fix build and C++ tests for FreeBSD
Clarify the requirement Pandas 1.2+
More robust endianness detection in R package build

In addition, it contains several enhancements:

Publish JVM packages targeting Linux ARM64
Publish a CPU-only wheel under name xgboost-cpu
Support building with CUDA Toolkit 12.5 and latest CCCL
   2024-01-28 09:21:07 by Thomas Klausner | Files touched by this commit (1) 
Log message:
py-xgboost: insists on gcc 8.1+
   2024-01-24 23:45:54 by Adam Ciarcinski | Files touched by this commit (1) 
Log message:
py-xgboost: remove unused REPLACE_; spotted by @wiz
   2024-01-24 23:43:20 by Adam Ciarcinski | Files touched by this commit (2) 
Log message:
py-xgboost: fix build
   2024-01-19 15:36:17 by Adam Ciarcinski | Files touched by this commit (8) | Package updated
Log message:
py-xgboost: updated to 2.0.3

2.0.3

[backport][sklearn] Fix loading model attributes.
[backport][py] Use the first found native library.
[backport] [CI] Upload libxgboost4j.dylib (M1) to S3 bucket
[jvm-packages] Fix POM for xgboost-jvm metapackage
   2023-08-02 01:20:57 by Thomas Klausner | Files touched by this commit (158) 
Log message:
*: remove more references to Python 3.7