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author | Chris Dyer <cdyer@allegro.clab.cs.cmu.edu> | 2012-11-18 13:35:42 -0500 |
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committer | Chris Dyer <cdyer@allegro.clab.cs.cmu.edu> | 2012-11-18 13:35:42 -0500 |
commit | 1b8181bf0d6e9137e6b9ccdbe414aec37377a1a9 (patch) | |
tree | 33e5f3aa5abff1f41314cf8f6afbd2c2c40e4bfd /dtrain/hstreaming/hadoop-streaming-job.sh | |
parent | 7c4665949fb93fb3de402e4ce1d19bef67850d05 (diff) |
major restructure of the training code
Diffstat (limited to 'dtrain/hstreaming/hadoop-streaming-job.sh')
-rwxr-xr-x | dtrain/hstreaming/hadoop-streaming-job.sh | 30 |
1 files changed, 0 insertions, 30 deletions
diff --git a/dtrain/hstreaming/hadoop-streaming-job.sh b/dtrain/hstreaming/hadoop-streaming-job.sh deleted file mode 100755 index 92419956..00000000 --- a/dtrain/hstreaming/hadoop-streaming-job.sh +++ /dev/null @@ -1,30 +0,0 @@ -#!/bin/sh - -EXP=a_simple_test - -# change these vars to fit your hadoop installation -HADOOP_HOME=/usr/lib/hadoop-0.20 -JAR=contrib/streaming/hadoop-streaming-0.20.2-cdh3u1.jar -HSTREAMING="$HADOOP_HOME/bin/hadoop jar $HADOOP_HOME/$JAR" - - IN=input_on_hdfs -OUT=output_weights_on_hdfs - -# you can -reducer to NONE if you want to -# do feature selection/averaging locally (e.g. to -# keep weights of all epochs) -$HSTREAMING \ - -mapper "dtrain.sh" \ - -reducer "ruby lplp.rb l2 select_k 100000" \ - -input $IN \ - -output $OUT \ - -file dtrain.sh \ - -file lplp.rb \ - -file ../dtrain \ - -file dtrain.ini \ - -file cdec.ini \ - -file ../test/example/nc-wmt11.en.srilm.gz \ - -jobconf mapred.reduce.tasks=30 \ - -jobconf mapred.max.map.failures.percent=0 \ - -jobconf mapred.job.name="dtrain $EXP" - |