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ddea's Introduction

DDEA

Data Driven Energy Analytics

  • data analytics engine for a large scale sensor database of BEMS

1. Prerequisite Python Packages

  • Install following packages to Ubuntu.
sudo apt-get install libncurses5-dev libfreetype6-dev libpng-dev graphviz libgraphviz-dev 
pkg-config libblas-dev libatlas-dev liblapack-dev gfortran r-base r-base-dev python-dev python-pip
  • Open R repl and install bnlean and Rgraphviz.
install.packages("bnlearn")

source("http://bioconductor.org/biocLite.R")
biocLite("Rgraphviz")
...
update all pacakge [a/y/n] a
  • Install following Python packages
    *Should you need to make all packages available site-wise, it is then recommended to execute the commands with superuser permission.
pip install --allow-all-external --upgrade decorator==3.4.0 six==1.8.0 gnureadline==6.3.3 
graphviz==0.4 pygraphviz==1.1 python-dateutil==2.2 pytz==2014.7 rpy2==2.3.10 networkx==1.9
  • Install following Numpy and Sklean packages. Each package takes some time to compile underlying C/C++ components that you should install numpy first then the rest of packages.
pip install --allow-all-external --upgrade numpy==1.9.1
pip install --allow-all-external --upgrade scipy==0.9.0 matplotlib==1.1.1 
pandas==0.13.1 scikit-learn==0.14.1 scikits.statsmodels==0.3.1

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