view sandbox/embeddings/one-per-line.py @ 456:131e19dfe793

Added sandbox.embeddings
author Joseph Turian <turian@iro.umontreal.ca>
date Tue, 07 Oct 2008 17:56:52 -0400
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#!/usr/bin/python

import string
#import psyco

weightsfile = "lm-weights.txt"
vocabfile = "words.asc"
size = 30000
dimensions = 50

import numpy, math
import sys
from common.str import percent

word_to_vector = {}

f = open(weightsfile)
f.readline()
vals = [float(v) for v in string.split(f.readline())]
assert len(vals) == size * dimensions
vals.reverse()
#for i in range(size):
r = range(size)
r.reverse()
for i in r:
    l = vals[dimensions*i:dimensions*(i+1)]
    print string.join([`s` for s in l], "\t")