Distributed Machine Learning Common Codebase
============================================

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DMLC-Core is the backbone library to support all DMLC projects, offers the bricks to build efficient and scalable distributed machine learning libraries.

Developer Channel [![Join the chat at https://gitter.im/dmlc/dmlc-core](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/dmlc/dmlc-core?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)


What's New
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* [Note on Parameter Module for Machine Learning](http://dmlc-core.readthedocs.org/en/latest/parameter.html)


Contents
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* [Documentation and Tutorials](http://dmlc-core.readthedocs.org/en/latest/)
* [Contributing](#contributing)

Known Issues
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* RecordIO format is not portable across different processor endians. So it is not possible to save RecordIO file on a x86 machine and then load it on a SPARC machine, because x86 is little endian while SPARC is big endian.


Contributing
------------

Contributing to dmlc-core is welcomed! dmlc-core follows google's C style guide. If you are interested in contributing, take a look at [feature wishlist](https://github.com/dmlc/dmlc-core/labels/feature%20wishlist) and open a new issue if you like to add something.

* Use of c++11 is allowed, given that the code is macro guarded with ```DMLC_USE_CXX11```
* Try to introduce minimum dependency when possible

### CheckList before submit code
* Type ```make lint``` and fix all the style problems.
* Type ```make doc``` and fix all the warnings.

NOTE
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deps:

libcurl4-openssl-dev