def post():
title = u"Train"
if request.method == 'POST':
mongo_server_ip = request.form['mongo_server_ip']
mongo_server_port = request.form['mongo_server_port']
jubatus_server_ip = request.form['jubatus_server_ip']
jubatus_server_port = request.form['jubatus_server_port']
db_name = request.form['db_name']
collection_name = request.form['collection_name']
# POSTで得られる値はstr型なのでintに変換する
jubatus_server_port = int(jubatus_server_port)
mongo_server_port = int(mongo_server_port)
# jubaclassifierのtrainの実行および表示
client = jubatus.Classifier(jubatus_server_ip, jubatus_server_port,
name)
lux_classifier = LuxClassifier()
result_list = lux_classifier.train(client, mongo_server_ip,
mongo_server_port, db_name,
collection_name)
# データフレームの取得
convert_mongo = convertMongo()
train_sensors_dic = convert_mongo.getTrainSensorsDic(
mongo_server_ip, mongo_server_port, db_name, collection_name)
data_frame = convert_mongo.getTable(train_sensors_dic)
# とりあえずターミナル上に表示
print data_frame
return render_template('index.html',
title=title,
jubatus_server_ip=jubatus_server_ip,
jubatus_server_port=jubatus_server_port,
mongo_server_ip=mongo_server_ip,
mongo_server_port=mongo_server_port,
result_list=result_list)
else:
# エラーなどでリダイレクトしたい場合はこんな感じで
print train_sensor_data
return redirect(url_for('hello'))
def post():
title = u"Train"
if request.method == 'POST':
mongo_server_ip = request.form['mongo_server_ip']
mongo_server_port = request.form['mongo_server_port']
jubatus_server_ip = request.form['jubatus_server_ip']
jubatus_server_port = request.form['jubatus_server_port']
db_name = request.form['db_name']
collection_name = request.form['collection_name']
# POSTで得られる値はstr型なのでintに変換する
jubatus_server_port = int(jubatus_server_port)
mongo_server_port = int(mongo_server_port)
# jubaclassifierのtrainの実行および表示
client = jubatus.Classifier(jubatus_server_ip, jubatus_server_port, name)
lux_classifier = LuxClassifier()
result_list = lux_classifier.train(client, mongo_server_ip, mongo_server_port, db_name, collection_name)
# データフレームの取得
convert_mongo = convertMongo()
train_sensors_dic = convert_mongo.getTrainSensorsDic(mongo_server_ip,
mongo_server_port,
db_name,
collection_name)
data_frame = convert_mongo.getTable(train_sensors_dic)
# とりあえずターミナル上に表示
print data_frame
return render_template('index.html',
title = title,
jubatus_server_ip = jubatus_server_ip,
jubatus_server_port = jubatus_server_port,
mongo_server_ip = mongo_server_ip,
mongo_server_port = mongo_server_port,
result_list = result_list)
else:
# エラーなどでリダイレクトしたい場合はこんな感じで
print train_sensor_data
return redirect(url_for('hello'))
#!/usr/bin/env python
# coding: utf-8
host = '127.0.0.1'
port = 9199
name = 'test2'
import sys
import json
import random
import jubatus
from jubatus.common import Datum
from getmongo import convertMongo
from getpre import preMongo
getmongo = convertMongo()
def train(client):
train_sensors_dic = getmongo.getTrainSensorsDic()
train_sensor_data = []
value = 0
for line in train_sensors_dic:
value = train_sensors_dic[line]['Value']
result = train_sensors_dic[line]['Result']
train_sensor_data.append((result, Datum({'Value': value})))
# training data must be shuffled on online learning!
random.shuffle(train_sensor_data)
# run train
from pymongo import MongoClient
from getmongo import convertMongo
NAME = "lux";
if __name__ == '__main__':
con = MongoClient('172.16.4.84', 27017)
db = con.sensordb
col = db.anomaly
# 1.Jubatus Serverへの接続設定
anom = client.Anomaly("127.0.0.1",9199,NAME)
# 2.学習用データの準備
mongo_dic = convertMongo()
dic = mongo_dic.getDic()
name = ''
value = 0
for line in dic:
name = dic[line]['name']
value = dic[line]['value']
datum = Datum()
# for (k, v) in [
# ['name', name],
# ]:
# datum.add_string(k, v)
for (k, v) in [
['value', value],
# coding: utf-8
# host = '192.168.33.10'
host = '127.0.0.1'
port = 9199
name = 'test2'
import sys
import json
import random
import jubatus
from jubatus.common import Datum
from getmongo import convertMongo
from getpre import preMongo
getmongo = convertMongo()
class LuxClassifier():
def train(self, client, mongo_ip, mongo_port, db_name, collection_name):
train_sensors_dic = getmongo.getTrainSensorsDic(mongo_ip, mongo_port,
db_name, collection_name)
train_sensor_data = []
value = 0
for line in train_sensors_dic:
value = train_sensors_dic[line]['Value']
result = train_sensors_dic[line]['Result']
train_sensor_data.append((result, Datum({'Value': value})))
# training data must be shuffled on online learning!
