def train(filename, parser):
fname = basename(filename)
cache_path = join(CACHE_PATH, fname)
if exists(cache_path):
return
word2tag_count = {}
for tag_id_list, txt in parser(filename):
if not txt.strip():
continue
tag_id_set = set(tag_id_list)
if not tag_id_set:
continue
for tid in tuple(tag_id_set):
tag_id_set.update(PTAG.get(tid, ()))
word2count = defaultdict(int)
word_list = list(seg_txt(utf8_ftoj(str(txt))))
for i in word_list:
word2count[i] += 1
for k, v in word2count.iteritems():
if k not in word2tag_count:
word2tag_count[k] = {}
t = word2tag_count[k]
for id in tag_id_set:
if id not in t:
t[id] = 0
t[id] += (1 + log(float(v)))
tofromfile.tofile(cache_path, word2tag_count)
def train(filename, parser):
fname = basename(filename)
cache_path = join(CACHE_PATH, fname)
if exists(cache_path):
return
word2tag_count = {}
for tag_id_list, txt in parser(filename):
if not txt.strip():
continue
tag_id_set = set(tag_id_list)
if not tag_id_set:
continue
for tid in tuple(tag_id_set):
tag_id_set.update(PTAG.get(tid, ()))
word2count = defaultdict(int)
word_list = list(seg_txt(utf8_ftoj(str(txt))))
for i in word_list:
word2count[i] += 1
for k, v in word2count.iteritems():
if k not in word2tag_count:
word2tag_count[k] = {}
t = word2tag_count[k]
for id in tag_id_set:
if id not in t:
t[id] = 0
t[id] += (1+log(float(v)))
tofromfile.tofile(cache_path, word2tag_count)
def main():
df = Df()
def merge(filename):
path = join(ZDATA_PATH_TRAIN_IDF, "%s.idf" % filename)
if not exists(path):
return
print path
df.extend_by_file(path)
merge("zhihu.js")
merge("review.txt")
for i in glob(join(ZDATA_PATH_TRAIN_IDF, "wanfang", "Periodical_*")):
merge(i)
PATH = join(ZDATA_PATH, "data")
if not exists(PATH):
makedirs(PATH)
tofile(join(PATH, "idf"), idf_dumps(df._count, df._df))
def main():
df = Df()
def merge(filename):
path = join(ZDATA_PATH_TRAIN_IDF, "%s.idf" % filename)
if not exists(path):
return
print path
df.extend_by_file(path)
merge("zhihu.js")
merge("review.txt")
for i in glob(join(ZDATA_PATH_TRAIN_IDF, "wanfang", "Periodical_*")):
merge(i)
PATH = join(ZDATA_PATH, "data")
if not exists(PATH):
makedirs(PATH)
tofile(
join(PATH, "idf"),
idf_dumps(df._count, df._df),
)
def tofile(self, path):
tofile(path, self._dict)
def tofile(self):
word_id2tag_id = list(self.txt_tag_generator())
path = DATA_DIR
self.tag2id.tofile(join(path, "tag2id"))
self.word2id.tofile(join(path, "word2id"))
tofile(join(path, "word_id2tag_id"), word_id2tag_id)
def tofile(self, f):
tofile(
f, (self._count, dict(self._df.iteritems()))
)
def tofile(self, path):
tofile(path, self._dict)
def tofile(self):
word_id2tag_id = list(self.txt_tag_generator())
path = DATA_DIR
self.tag2id.tofile(join(path, 'tag2id'))
self.word2id.tofile(join(path, 'word2id'))
tofile(join(path, 'word_id2tag_id'), word_id2tag_id)
def tofile(self, f):
tofile(f, (self._count, dict(self._df.iteritems())))
