dfac5f89e9
CLI is not most developed interface. Putting them into correct directory can help new users to avoid it as most of the use cases are from a language binding.
28 lines
1.1 KiB
Markdown
28 lines
1.1 KiB
Markdown
Distributed XGBoost Training
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============================
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This is an tutorial of Distributed XGBoost Training.
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Currently xgboost supports distributed training via CLI program with the configuration file.
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There is also plan push distributed python and other language bindings, please open an issue
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if you are interested in contributing.
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Build XGBoost with Distributed Filesystem Support
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-------------------------------------------------
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To use distributed xgboost, you only need to turn the options on to build
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with distributed filesystems(HDFS or S3) in cmake.
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```
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cmake <path/to/xgboost> -DUSE_HDFS=ON -DUSE_S3=ON -DUSE_AZURE=ON
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```
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Step by Step Tutorial on AWS
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----------------------------
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Checkout [this tutorial](https://xgboost.readthedocs.org/en/latest/tutorials/aws_yarn.html) for running distributed xgboost.
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Model Analysis
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--------------
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XGBoost is exchangeable across all bindings and platforms.
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This means you can use python or R to analyze the learnt model and do prediction.
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For example, you can use the [plot_model.ipynb](plot_model.ipynb) to visualize the learnt model.
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