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# java -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=12605 Main # Name of .class program | |
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/pr/cloudera/parcels/CDH-5.5.2-1.cdh5.5.2.p0.4/lib/hadoop/lib/native | |
java -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=12611 -cp ta rget/da_record_linkage-0.0.1-SNAPSHOT-jar-with-dependencies.jar da_record_linkage.TestSnappy | |
netstat -plten | grep LISTEN | grep :120* # See if there is any open port |
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install_submodule_git <- function(x, ...) { | |
install_dir <- tempfile() | |
system(paste("git clone --recursive", shQuote(x), shQuote(install_dir))) | |
devtools::install(install_dir, ...) | |
} | |
install_submodule_git("https://github.com/jonkeane/mocapGrip") |
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""" | |
DyNet implementation of a sequence labeler (POS taggger). | |
This is a translation of this tagger in PyTorch: https://gist.github.com/hal3/8c170c4400576eb8d0a8bd94ab231232 | |
Basic architecture: | |
- take words | |
- run though bidirectional GRU | |
- predict labels one word at a time (left to right), using a recurrent neural network "decoder" | |
The decoder updates hidden state based on: | |
- most recent word |
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