xgboost
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dmlc
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Hello, Ive run into an error trying to get XGboost GPU working on WSL2. My usage of XGboost GPU works on a Linux install with CUDA, and Im fairly confident...
* Sort worker entries by dask worker ID. (`task_id`) Close https://github.com/dmlc/xgboost/issues/7927 .
- Copy `GHistIndexMatrix` to `Ellpack` when needed.
This PR aims to resolve issue #8146. #### Current behavior: The current Python [getting started example](https://xgboost.readthedocs.io/en/stable/get_started.html) requires the user to manually set the local file path to the Agaricus data...
Performed loop unrolling and change compressed iterator to use byte aligned sizes, increasing global memory read throughput. max_depth=8 | dataset | master | hist | |---------|-------------|-------------| | airline | 89.51209751...
Alternative to https://github.com/dmlc/xgboost/pull/8018 . Suggested by @jakirkham
Closes https://github.com/dmlc/xgboost/issues/8108 Make Xgboost estimator support using sparse matrix as optimization.
Cuda SASS code is compatible across major architectures, so we only need one from each, unless particular features are needed. As we don't use any special features (e.g. tensor cores)...
Hi experts, I try to use my gpu resources to train a model and save it using model.save(model.json) and try to load it using model.load_model(model.json) in the different computer which...
Hi - this is a feature proposal for the Python package portion of `xgboost`. If there is interest, I would be happy to try implementing and provide a PR. ####...