Hendrik/xgboost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

some more links and restructuring

Browse Source
This commit is contained in:
Ajinkya Kale 2015-07-26 20:30:59 -07:00
parent 9a936721d8
commit f2eb55683c
1 changed files with 6 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

13
README.md
View File

@ -44,14 +44,13 @@ Version
Features
--------
* Easily accessible through python, R, Julia, CLI
* Fast and memory efficient
- Can be more than 10 times faster than GBM in sklearn and R. [benchm-ml numbers](https://github.com/szilard/benchm-ml)
- Handles sparse matrices, support external memory
* Easily accessible through CLI, [python](guide-python/basic_walkthrough.py),
[R](../R-package/demo/basic_walkthrough.R),
[Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/basic_walkthrough.jl)
* Its fast! Benchmark numbers comparing xgboost, H20, Spark, R - [benchm-ml numbers](https://github.com/szilard/benchm-ml)
* Memory efficient - Handles sparse matrices, supports external memory
* Accurate prediction, and used extensively by data scientists and kagglers - [highlight links](https://github.com/dmlc/xgboost/blob/master/doc/README.md#highlight-links)
* Distributed and Portable
- The distributed version runs on Hadoop (YARN), MPI, SGE etc.
- Scales to billions of examples and beyond
* Distributed version runs on Hadoop (YARN), MPI, SGE etc., scales to billions of examples.
Bug Reporting
-------------