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License: MIT License
Distributed skipgram mixture model for multisense word embedding
License: MIT License
can you post your pretrainned models? or are there any available?
it takes a while to train them so it would be nice. if storage is the issue, torrent is fine.
Hello, I trained 3GB text file on 3 machines.(I divided the text file into three 1GB files as instruction in run.py)
After training, output files(models) were made on each 3 machines separately.
How can I integrate those models?
Thank you.
cmake .. && make && sudo make install
OpenMP found
/usr/lib/openmpi/lib/libmpi_cxx.so/usr/lib/openmpi/lib/libmpi.so
/usr/lib/openmpi/lib/libmpi_cxx.so/usr/lib/openmpi/lib/libmpi.so
CMake Warning at /usr/share/cmake-3.5/Modules/FindBoost.cmake:725 (message):
Imported targets not available for Boost version
Call Stack (most recent call first):
/usr/share/cmake-3.5/Modules/FindBoost.cmake:763 (_Boost_COMPONENT_DEPENDENCIES)
/usr/share/cmake-3.5/Modules/FindBoost.cmake:1332 (_Boost_MISSING_DEPENDENCIES)
Test/unittests/CMakeLists.txt:3 (find_package)
CMake Error at /usr/share/cmake-3.5/Modules/FindBoost.cmake:1677 (message):
Unable to find the requested Boost libraries.
Unable to find the Boost header files. Please set BOOST_ROOT to the root
directory containing Boost or BOOST_INCLUDEDIR to the directory containing
Boost's headers.
Call Stack (most recent call first):
Test/unittests/CMakeLists.txt:3 (find_package)
CMake Error at Test/unittests/CMakeLists.txt:9 (MESSAGE):
message called with incorrect number of arguments
Boost_INCLUDE_DIR-NOTFOUND
CMake Error: The following variables are used in this project, but they are set to NOTFOUND.
Please set them or make sure they are set and tested correctly in the CMake files:
/clouddisk/shaolin/DMTK/multiverso/Test/unittests/Boost_INCLUDE_DIR
used as include directory in directory /clouddisk/shaolin/DMTK/multiverso/Test/unittests
-- Configuring incomplete, errors occurred!
See also "/clouddisk/shaolin/DMTK/multiverso/build/CMakeFiles/CMakeOutput.log".
Would you like to add more error handling for return values from functions like the following?
I suggest to reuse a higher level build system than your current small make file so that powerful checks for software features will become easier.
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