chrishokamp

chrishokamp

chrishokamp

chrishokamp

from __future__ import division, print_function
import codecs
from sklearn.metrics import f1_score
import numpy as np
from argparse import ArgumentParser

import logging

logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
logger = logging.getLogger('wmt_eval_logger')

chrishokamp

chrishokamp

#!/usr/bin/python
#Author: Chris Hokamp
#Spring 2013

import sys
import requests
from BeautifulSoup import BeautifulSoup
import re

if len(sys.argv) != 4:

chrishokamp

fraternize
sassafras's
frankish
franjo
refractor
frannie
infractions
frantically
frankfurters
frantically

chrishokamp

# cd into your top level directory ml-group/

# add a remote called 'upstream'
git remote add upstream https://github.com/dcumachinelearning/ml-group.git
# pull from upstream 
git pull upstream master
# push the new commits from upstream to your fork on github
git push

chrishokamp

# install the anaconda python distribution
echo 'grabbing the distro, note that you need to accept the license...' 
wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda-2.3.0-Linux-x86_64.sh
bash Anaconda*.sh
echo "all done, have a great day $USER"

chrishokamp

{
 "metadata": {
  "name": "gensim_tutorial"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {