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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 |
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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 |
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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)) |
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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 |
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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 |
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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 |
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import mechanize | |
import cookielib | |
import urlparse | |
import re | |
import time | |
import random | |
import csv | |
import pandas as pd | |
import pickle | |
import random |
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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 |
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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 |
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#!/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 |
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