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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

• Note on Parameter Module for Machine Learning

• Documentation and Tutorials
• Contributing

• 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 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 and open a new issue if you like to add something.

• DMLC-Core uses C++14 standard. Ensure that your C++ compiler supports C++14.
• Try to introduce minimum dependency when possible

• Type make lint and fix all the style problems.
• Type make doc and fix all the warnings.

deps:

libcurl4-openssl-dev