xgboost
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
How to download and setup xgboost
Open terminal and run command
git clone https://github.com/dmlc/xgboost.git
git clone is used to create a copy or clone of xgboost repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with xgboost https://github.com/dmlc/xgboost/archive/master.zip
Or simply clone xgboost with SSH
[email protected]:dmlc/xgboost.git
If you have some problems with xgboost
You may open issue on xgboost support forum (system) here: https://github.com/dmlc/xgboost/issuesSimilar to xgboost repositories
Here you may see xgboost alternatives and analogs
tensorflow keras scikit-learn TensorFlow-Examples pytorch face_recognition CNTK data-science-ipython-notebooks etcd nsq Qix handong1587.github.io telegram-list dubbo mlcourse.ai stats Winds machine-learning-curriculum caffe tesseract machine-learning-for-software-engineers awesome-deep-learning-papers incubator-mxnet lectures cs-video-courses julia Screenshot-to-code spaCy cheatsheets-ai awesome-deep-learning