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macports-ports/textproc/word2vec/files/patch-demo.diff
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Adjust demo paths so they work regardless of the current working directory.
--- demo-analogy.sh.orig 2014-09-07 01:54:27.000000000 +0900
+++ demo-analogy.sh 2014-12-24 22:55:24.000000000 +0900
@@ -7,5 +7,5 @@
echo Note that for the word analogy to perform well, the model should be trained on much larger data set
echo Example input: paris france berlin
echo ---------------------------------------------------------------------------------------------------
-time ./word2vec -train text8 -output vectors.bin -cbow 1 -size 200 -window 8 -negative 25 -hs 0 -sample 1e-4 -threads 20 -binary 1 -iter 15
-./word-analogy vectors.bin
+time @EXECDIR@/word2vec -train text8 -output vectors.bin -cbow 1 -size 200 -window 8 -negative 25 -hs 0 -sample 1e-4 -threads 20 -binary 1 -iter 15
+@EXECDIR@/word-analogy vectors.bin
--- demo-classes.sh.orig 2014-09-07 01:54:27.000000000 +0900
+++ demo-classes.sh 2014-12-24 22:57:00.000000000 +0900
@@ -3,6 +3,6 @@
wget http://mattmahoney.net/dc/text8.zip -O text8.gz
gzip -d text8.gz -f
fi
-time ./word2vec -train text8 -output classes.txt -cbow 1 -size 200 -window 8 -negative 25 -hs 0 -sample 1e-4 -threads 20 -iter 15 -classes 500
+time @EXECDIR@/word2vec -train text8 -output classes.txt -cbow 1 -size 200 -window 8 -negative 25 -hs 0 -sample 1e-4 -threads 20 -iter 15 -classes 500
sort classes.txt -k 2 -n > classes.sorted.txt
echo The word classes were saved to file classes.sorted.txt
--- demo-phrase-accuracy.sh.orig 2014-09-07 01:54:27.000000000 +0900
+++ demo-phrase-accuracy.sh 2014-12-24 22:57:51.000000000 +0900
@@ -4,8 +4,8 @@
gzip -d news.2012.en.shuffled.gz -f
fi
sed -e "s/’/'/g" -e "s/′/'/g" -e "s/''/ /g" < news.2012.en.shuffled | tr -c "A-Za-z'_ \n" " " > news.2012.en.shuffled-norm0
-time ./word2phrase -train news.2012.en.shuffled-norm0 -output news.2012.en.shuffled-norm0-phrase0 -threshold 200 -debug 2
-time ./word2phrase -train news.2012.en.shuffled-norm0-phrase0 -output news.2012.en.shuffled-norm0-phrase1 -threshold 100 -debug 2
+time @EXECDIR@/word2phrase -train news.2012.en.shuffled-norm0 -output news.2012.en.shuffled-norm0-phrase0 -threshold 200 -debug 2
+time @EXECDIR@/word2phrase -train news.2012.en.shuffled-norm0-phrase0 -output news.2012.en.shuffled-norm0-phrase1 -threshold 100 -debug 2
tr A-Z a-z < news.2012.en.shuffled-norm0-phrase1 > news.2012.en.shuffled-norm1-phrase1
-time ./word2vec -train news.2012.en.shuffled-norm1-phrase1 -output vectors-phrase.bin -cbow 1 -size 200 -window 10 -negative 25 -hs 0 -sample 1e-5 -threads 20 -binary 1 -iter 15
-./compute-accuracy vectors-phrase.bin < questions-phrases.txt
+time @EXECDIR@/word2vec -train news.2012.en.shuffled-norm1-phrase1 -output vectors-phrase.bin -cbow 1 -size 200 -window 10 -negative 25 -hs 0 -sample 1e-5 -threads 20 -binary 1 -iter 15
+@EXECDIR@/compute-accuracy vectors-phrase.bin < questions-phrases.txt
--- demo-phrases.sh.orig 2014-09-07 01:54:27.000000000 +0900
+++ demo-phrases.sh 2014-12-24 22:58:20.000000000 +0900
@@ -4,8 +4,8 @@
gzip -d news.2012.en.shuffled.gz -f
fi
sed -e "s/’/'/g" -e "s/′/'/g" -e "s/''/ /g" < news.2012.en.shuffled | tr -c "A-Za-z'_ \n" " " > news.2012.en.shuffled-norm0
-time ./word2phrase -train news.2012.en.shuffled-norm0 -output news.2012.en.shuffled-norm0-phrase0 -threshold 200 -debug 2
-time ./word2phrase -train news.2012.en.shuffled-norm0-phrase0 -output news.2012.en.shuffled-norm0-phrase1 -threshold 100 -debug 2
+time @EXECDIR@/word2phrase -train news.2012.en.shuffled-norm0 -output news.2012.en.shuffled-norm0-phrase0 -threshold 200 -debug 2
+time @EXECDIR@/word2phrase -train news.2012.en.shuffled-norm0-phrase0 -output news.2012.en.shuffled-norm0-phrase1 -threshold 100 -debug 2
tr A-Z a-z < news.2012.en.shuffled-norm0-phrase1 > news.2012.en.shuffled-norm1-phrase1
-time ./word2vec -train news.2012.en.shuffled-norm1-phrase1 -output vectors-phrase.bin -cbow 1 -size 200 -window 10 -negative 25 -hs 0 -sample 1e-5 -threads 20 -binary 1 -iter 15
-./distance vectors-phrase.bin
+time @EXECDIR@/word2vec -train news.2012.en.shuffled-norm1-phrase1 -output vectors-phrase.bin -cbow 1 -size 200 -window 10 -negative 25 -hs 0 -sample 1e-5 -threads 20 -binary 1 -iter 15
+@EXECDIR@/distance vectors-phrase.bin
--- demo-word-accuracy.sh.orig 2014-09-07 01:54:27.000000000 +0900
+++ demo-word-accuracy.sh 2014-12-24 22:58:49.000000000 +0900
@@ -3,6 +3,6 @@
wget http://mattmahoney.net/dc/text8.zip -O text8.gz
gzip -d text8.gz -f
fi
-time ./word2vec -train text8 -output vectors.bin -cbow 1 -size 200 -window 8 -negative 25 -hs 0 -sample 1e-4 -threads 20 -binary 1 -iter 15
-./compute-accuracy vectors.bin 30000 < questions-words.txt
-# to compute accuracy with the full vocabulary, use: ./compute-accuracy vectors.bin < questions-words.txt
+time @EXECDIR@/word2vec -train text8 -output vectors.bin -cbow 1 -size 200 -window 8 -negative 25 -hs 0 -sample 1e-4 -threads 20 -binary 1 -iter 15
+@EXECDIR@/compute-accuracy vectors.bin 30000 < questions-words.txt
+# to compute accuracy with the full vocabulary, use: @EXECDIR@/compute-accuracy vectors.bin < questions-words.txt
--- demo-word.sh.orig 2014-09-07 01:54:27.000000000 +0900
+++ demo-word.sh 2014-12-24 22:59:00.000000000 +0900
@@ -3,5 +3,5 @@
wget http://mattmahoney.net/dc/text8.zip -O text8.gz
gzip -d text8.gz -f
fi
-time ./word2vec -train text8 -output vectors.bin -cbow 1 -size 200 -window 8 -negative 25 -hs 0 -sample 1e-4 -threads 20 -binary 1 -iter 15
-./distance vectors.bin
+time @EXECDIR@/word2vec -train text8 -output vectors.bin -cbow 1 -size 200 -window 8 -negative 25 -hs 0 -sample 1e-4 -threads 20 -binary 1 -iter 15
+@EXECDIR@/distance vectors.bin
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