dmlc/xgboost

This release marks a major milestone for the XGBoost project. In this release, we introduce an experimental support of using JSON for serializing (saving/loading) XGBoost models and related hyperparameters for training. We would like to eventually replace the old binary format with JSON, since it is an open format and parsers are available in many programming languages and platforms. See the documentation for model I/O using JSON. Previously, users often ran into issues where the model file produced by one machine could not load or run on another machine.