def write_vecs(finname, foutname):
og_embed = Embedding.load(finname, normalize=False)
red_embed = og_embed.get_subembed(TOP_WORDS)
np.save(foutname+".npy", red_embed.m)
with file(foutname+".vocab","w") as outf:
print >> outf, " ".join(red_embed.iw)
def __init__(self, years, top_freq=None):
self.embeds = collections.OrderedDict()
for year in years:
self.embeds[year] = Embedding.load(INPUT_PATH.format(year=year))