Mercurial > pylearn
comparison embeddings/parameters.py @ 510:919125098a3b
Fixed parameters.
author | Joseph Turian <turian@iro.umontreal.ca> |
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date | Thu, 30 Oct 2008 18:42:16 -0400 |
parents | 3daabc7f94ff |
children | de974b4fc4ea |
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509:6fe692b93b69 | 510:919125098a3b |
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1 """ | 1 """ |
2 Locations of the embedding data files. | 2 Locations of the embedding data files. |
3 """ | 3 """ |
4 #WEIGHTSFILE = "/home/fringant2/lisa/data/word_embeddings.collobert-and-weston/lm-weights.txt" | 4 WEIGHTSFILE = "/home/fringant2/lisa/data/word_embeddings.collobert-and-weston/lm-weights.txt" |
5 #VOCABFILE = "/home/fringant2/lisa/data/word_embeddings.collobert-and-weston/words.asc" | 5 VOCABFILE = "/home/fringant2/lisa/data/word_embeddings.collobert-and-weston/words.asc" |
6 WEIGHTSFILE = "/home/joseph/data/word_embeddings.collobert-and-weston/lm-weights.txt" | 6 #WEIGHTSFILE = "/home/joseph/data/word_embeddings.collobert-and-weston/lm-weights.txt" |
7 VOCABFILE = "/home/joseph/data/word_embeddings.collobert-and-weston/words.asc" | 7 #VOCABFILE = "/home/joseph/data/word_embeddings.collobert-and-weston/words.asc" |
8 NUMBER_OF_WORDS = 30000 | 8 NUMBER_OF_WORDS = 30000 |
9 DIMENSIONS = 50 | 9 DIMENSIONS = 50 |
10 UNKNOWN = "UNKNOWN" | 10 UNKNOWN = "UNKNOWN" |