KayneWest

import re
import numpy, theano, sys, math
from theano import tensor as T
from theano import shared
from theano.tensor.signal import downsample
from theano.tensor.nnet import conv
from theano.tensor.shared_randomstreams import RandomStreams
from collections import OrderedDict

BATCH_SIZE=200

KayneWest

import re
import numpy, theano, sys, math
from theano import tensor as T
from theano import shared
from theano.tensor.signal import downsample
from theano.tensor.nnet import conv
from theano.tensor.shared_randomstreams import RandomStreams
from collections import OrderedDict

BATCH_SIZE=200

KayneWest

from string import translate,maketrans,punctuation
from itertools import chain
from nltk import PunktSentenceTokenizer
import datetime 
import re
 
def log(msg):
    print("{} {}".format(str(datetime.datetime.now()), msg))
def removeNonAscii(s): 
    return "".join(filter(lambda x: ord(x)<128, s))

KayneWest

import time
from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.action_chains import ActionChains
import random
import csv
import pandas as pd
import pickle
import random

KayneWest

import time
from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.keys import Keys
import random
import csv
import pandas as pd

KayneWest

import time
import random
import csv
import pandas as pd
import pickle
import random
import datetime
import os
import re
from itertools import izip_longest

KayneWest

import mechanize
import cookielib
import urlparse
import re
import time
import random
import csv
import pandas as pd
import pickle
import random

KayneWest

import multiprocessing
from StringIO import StringIO
import gzip
import csv
from random import shuffle
import numpy as np
import json
from time import sleep
import pymongo
import datetime

KayneWest

import pymc as pm
import numpy as np
import math

site_id = 911

def MCMC_switch_point_finder(count_data):
    n_count_data = len(count_data)
    alpha = 1.0 / count_data.mean()  # Recall count_data is the
                                   # variable that holds our txt counts

KayneWest

#!/usr/bin/python
# -*- coding: utf-8 -*-

import pprint
import datetime
from py2neo.neo4j import Index
from wikitools import wiki
from wikitools import api
from wikitools import category
import wikitools