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0.4

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tqchen 2015-05-11 23:42:49 -07:00
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@ -21,7 +21,7 @@ xgboost-0.3
* Add [Code Guide](src/README.md) for customizing objective function and evaluation * Add [Code Guide](src/README.md) for customizing objective function and evaluation
* Add R module * Add R module
in progress 0.4 xgboost-0.4
===== =====
* Distributed version of xgboost that runs on YARN, scales to billions of examples * Distributed version of xgboost that runs on YARN, scales to billions of examples
* Direct save/load data and model from/to S3 and HDFS * Direct save/load data and model from/to S3 and HDFS

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@ -22,18 +22,10 @@ Highlights of Usecases: [Highlight Links](doc/README.md#highlight-links)
What's New What's New
========== ==========
* XGBoost-0.4 release, see [CHANGES.md](CHANGES.md)
* XGBoost wins [WWW2015 Microsoft Malware Classification Challenge (BIG 2015)](http://www.kaggle.com/c/malware-classification/forums/t/13490/say-no-to-overfitting-approaches-sharing) * XGBoost wins [WWW2015 Microsoft Malware Classification Challenge (BIG 2015)](http://www.kaggle.com/c/malware-classification/forums/t/13490/say-no-to-overfitting-approaches-sharing)
- Checkout the winning solution at [Highlight links](doc/README.md#highlight-links) - Checkout the winning solution at [Highlight links](doc/README.md#highlight-links)
* [External Memory Version](doc/external_memory.md) * [External Memory Version](doc/external_memory.md)
* XGBoost now support HDFS and S3
* [Distributed XGBoost now runs on YARN](https://github.com/dmlc/wormhole/tree/master/learn/xgboost)
* [xgboost user group](https://groups.google.com/forum/#!forum/xgboost-user/) for tracking changes, sharing your experience on xgboost
* New features in the lastest changes :)
- Distributed version that scale xgboost to even larger problems with cluster
- Feature importance visualization in R module, thanks to Michael Benesty
- Predict leaf index, see [demo/guide-python/predict_leaf_indices.py](demo/guide-python/predict_leaf_indices.py)
* XGBoost wins [Tradeshift Text Classification](https://kaggle2.blob.core.windows.net/forum-message-attachments/60041/1813/TradeshiftTextClassification.pdf?sv=2012-02-12&se=2015-01-02T13%3A55%3A16Z&sr=b&sp=r&sig=5MHvyjCLESLexYcvbSRFumGQXCS7MVmfdBIY3y01tMk%3D)
* XGBoost wins [HEP meets ML Award in Higgs Boson Challenge](http://atlas.ch/news/2014/machine-learning-wins-the-higgs-challenge.html)
Features Features
======== ========
@ -55,11 +47,9 @@ Build
Version Version
======= =======
* This version xgboost-0.3, the code has been refactored from 0.2x to be cleaner and more flexibility * Current version xgboost-0.4, a lot improvment has been made since 0.3
* This version of xgboost is not compatible with 0.2x, due to huge amount of changes in code structure - Change log in [CHANGES.md](CHANGES.md)
- This means the model and buffer file of previous version can not be loaded in xgboost-3.0 - This version is compatible with 0.3x versions
* For legacy 0.2x code, refer to [Here](https://github.com/tqchen/xgboost/releases/tag/v0.22)
* Change log in [CHANGES.md](CHANGES.md)
XGBoost in Graphlab Create XGBoost in Graphlab Create
========================== ==========================