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#!/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"
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