def translate(config_path, input_path, output_path):
print('Loading config ... ', end='', flush=True)
with open(config_path, 'r') as f:
config = json.load(f)
print('done !')
dic = Dic()
dic.read_dict(config['dic'], config['word'], True)
translater = Translater(dic, config['model'])
if input_path == '':
translater.shell()
else:
translater.translate_file(input_path, output_path)
return
def train(config_path):
jieba.initialize() # init jieba
print('Loading training config ... ', end='', flush=True)
with open(config_path, 'r') as f:
config = json.load(f)
print('done !')
dic = Dic()
dic.read_dict(config['dic'], config['word'])
trainer = Trainer(dic)
# trainer.feed(config['word'], True)
for data in config['data']:
trainer.feed(data)
trainer.build()
trainer.write_into_file(config['model'])
def run(self, window):
self.window = window
frame = self.view(window, back_button=True)
vbox = gui.Box(frame, axis=1, expand=True)
self.question_text = tichy.Text("Question")
self.question_text.view(vbox, expand=True, font_size=58)
self.choices = tichy.List()
self.choices.view(vbox, expand=True)
frame.connect('back', self.on_quit)
dic = codecs.open(Learn.path('characters.dic'), encoding='utf-8')
logger.info("opening the dict")
# dic = open(Learn.path('characters.dic'), 'r')
dic = Dic.read(dic)
self.full_dic = dic[:]
brain = Brain()
logger.info("start game")
self.task = None
while True:
self.task = brain.ask(self.ask, dic)
try:
yield self.task
except GeneratorExit:
break
def main(args):
stats = Stats()
transactions = TransactionsList(args.infile)
if args.algorithm == 'apriori':
algorithm = Apriori(transactions, args.minsup)
else:
algorithm = Dic(transactions, args.minsup, args.m)
large_sets, counter = algorithm.get_large_sets_and_counter()
stats.record_post_large_sets()
rules = RulesGenerator.generate_rules(large_sets, args.minconf, counter, transactions)
stats.record_post_rules()
writer = Writer(args.outfile)
writer.add_args(args)
writer.add_stats(stats)
writer.add_rules(rules)
writer.write()
def __init__(self):
Dic.__init__(self)
self.space = 10
self.peradd = 5
self.datas = np.array([], dtype=np.uint16)
self.datas = np.resize(self.datas, self.space)
def size(self):
return self.list.size()
def getDatas(self):
return self.list.datas
def show(self):
self.list.show()
def __getitem__(self, i):
return self.list.datas[i]
def __str__(self):
return str(self.list)
if __name__ == '__main__':
from dic import Dic
dic = Dic()
li = range(1, 20)
for i in li:
dic.add(i)
dic.done()
dic.show()
datas = Datas()
datas.setDic(dic)
f = [1, 1, 5, 3]
print 'f:', f
datas.addFeatures(f)
datas.show()