The Python API to the ISC anomaly detection and classification framework.

##Prerequisite:

Notice, pyISC/visISC is only been tested on 64 bits machines.

###Install Python distribution

Install Python 2.7

Anaconda is the recommended Python distribution : https://www.continuum.io/downloads

Libraries:

• numpy (required for running pyisc)
• ipython, jupyter, pandas, scikit-learn (only required for running tutorial examples)

Install with anacond:

>> conda install numpy pandas scikit-learn ipython jupyter

Windows:

>> conda install mingw libpython

###Install Swig

(search for suitable version with >> anaconda search -t conda swig)

Windows:

>> conda install --channel https://conda.anaconda.org/salilab swig

OS X:

>> conda install --channel https://conda.anaconda.org/minrk swig

>> git clone https://github.com/STREAM3/pyisc --recursive

>> cd pyisc

>> python setup.py install

>> cd docs

>> jupyter notebook pyISC_tutorial.ipynb

If not opened automatically, click on pyISC_tutorial.ipynb in the web page that was opened in a web browser.