Bring up a performance instance, download Expedia data from Kaggle

boot.sh

10:19:27 ~$ nova keypair-add --pub-key ~/.ssh/id_rsa.pub kyle
10:19:43 ~$ nova boot perf_kaggle --image dee7f62b-cbb1-4fdc-8dc5-33e408d8c599 --flavor performance2-15 --poll --key-name kyle

kaggle_expedia.sh

# Wise to update first
sudo apt-get update

# Pre-requisites to download
sudo apt-get install -y unzip git wget curl

# Exported cookies via the Chrome to cookie.txt 
wget --load-cookies=cookies.txt http://www.kaggle.com/c/expedia-personalized-sort/download/data.zip
wget --load-cookies=cookies.txt http://www.kaggle.com/c/expedia-personalized-sort/download/basicPythonBenchmark.zip
wget --load-cookies=cookies.txt http://www.kaggle.com/c/expedia-personalized-sort/download/testOrderBenchmark.zip
wget --load-cookies=cookies.txt http://www.kaggle.com/c/expedia-personalized-sort/download/randomBenchmark.zip

# unzip 'em all
unzip '*.zip'

# Pre-requisites for the Python benchmark
sudo apt-get install -y build-essential python-dev python-numpy python-setuptools python-scipy libatlas-dev liblapack3 libatlas3-base gcc g++ gfortran

# setuptools then pip
wget https://bitbucket.org/pypa/setuptools/raw/bootstrap/ez_setup.py -O - | python2.7
curl --show-error --retry 5 https://raw.github.com/pypa/pip/master/contrib/get-pip.py | python2.7

# Virtualenvburrito
curl -s https://raw.github.com/brainsik/virtualenv-burrito/master/virtualenv-burrito.sh | $SHELL

source $HOME/.venvburrito/startup.sh

mkvirtualenv expedia_benchmark

# The basic packages we need, just for the benchmarks
pip install numpy scipy scikit-learn pandas

# Download the basic code that generated these benchmarks
git clone https://github.com/benhamner/ExpediaPersonalizedSortCompetition.git