Group CLI demo into subdirectory. (#6258)
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.
This commit is contained in:
27
demo/CLI/distributed-training/README.md
Normal file
27
demo/CLI/distributed-training/README.md
Normal file
@@ -0,0 +1,27 @@
|
||||
Distributed XGBoost Training
|
||||
============================
|
||||
This is an tutorial of Distributed XGBoost Training.
|
||||
Currently xgboost supports distributed training via CLI program with the configuration file.
|
||||
There is also plan push distributed python and other language bindings, please open an issue
|
||||
if you are interested in contributing.
|
||||
|
||||
Build XGBoost with Distributed Filesystem Support
|
||||
-------------------------------------------------
|
||||
To use distributed xgboost, you only need to turn the options on to build
|
||||
with distributed filesystems(HDFS or S3) in cmake.
|
||||
|
||||
```
|
||||
cmake <path/to/xgboost> -DUSE_HDFS=ON -DUSE_S3=ON -DUSE_AZURE=ON
|
||||
```
|
||||
|
||||
|
||||
Step by Step Tutorial on AWS
|
||||
----------------------------
|
||||
Checkout [this tutorial](https://xgboost.readthedocs.org/en/latest/tutorials/aws_yarn.html) for running distributed xgboost.
|
||||
|
||||
|
||||
Model Analysis
|
||||
--------------
|
||||
XGBoost is exchangeable across all bindings and platforms.
|
||||
This means you can use python or R to analyze the learnt model and do prediction.
|
||||
For example, you can use the [plot_model.ipynb](plot_model.ipynb) to visualize the learnt model.
|
||||
Reference in New Issue
Block a user