def setUp(self):
self.config = {
"window_size": 10
}
TestUtil.write_file('config_stat.json', json.dumps(self.config))
self.srv = TestUtil.fork_process('stat', port, 'config_stat.json')
self.cli = stat(host, port)
def setUp(self):
self.srv = TestUtil.fork_process("stat", port)
self.cli = stat(host, port)
self.window_size = 10
cd = config_data(self.window_size)
self.cli.set_config("name", cd)
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from jubatus.stat import client
from jubatus.stat import types
NAME = "stat_tri";
if __name__ == '__main__':
# 1. Jubatus Serverへの接続設定
stat = client.stat("127.0.0.1",9199)
# 2. 学習用データの準備
for line in open('../dat/fruit.csv'):
fruit, diameter, weight , price = line[:-1].split(',')
# 3. データの学習（学習モデルの更新）
stat.push(NAME, fruit+"dia", float(diameter))
stat.push(NAME, fruit+"wei", float(weight))
stat.push(NAME, fruit+"pri", float(price))
# 4. 結果の出力
for fr in ["orange", "apple","melon"]:
for par in ["dia","wei", "pri"]:
print "sum :",fr+par,stat.sum(NAME, fr+par)
print "sdv :",fr+par,stat.stddev(NAME, fr+par)
print "max :",fr+par,stat.max(NAME, fr+par)
print "min :",fr+par,stat.min(NAME, fr+par)
print "ent :",fr+par,stat.entropy(NAME, fr+par)