StatNLP Framework
This is a C++ based implementation of StatNLP framework, designed and developed by StatNLP team of SUTD. For the related academic publications, please visit our website http://www.statnlp.org
How to Start
This document describes how to develop graphical machine learning model using our StatNLP framework.
Table of Contents
Requirements
- MAC
- Linux
- Windows
Configure Eigen
Set the eigen directory in CMakeLists.txt.
set(EIGEN3_INCLUDE_DIR YOUR_PATH_TO_EIGEN)Build Dynet (Option)
The dynet source code has been placed in project folder, and it will be automatically built when you compile the StatNLP. Meanwhile, you can also build dynet manually via command line.
cmake .. -DEIGEN3_INCLUDE_DIR=YOUR_PATH_TO EIGN -DCMAKE_BUILD_TYPE=Debug -DCMAKE_CXX_FLAGS="-fsanitize=address"The function get_args in file cl-args.h should be static.