PA196: Pattern Recognition
Exercises
Dr. Vlad Popovici
popovici@iba.muni.cz
Institute of Biostatistics and Analyses
Masaryk University, Brno
Vlad PA196: Pattern Recognition
Python environment
the easiest is to use a "distribution" of Python
suggestion/recommendation: Anaconda
http://www.continuum.io/
Python 2 vs Python 3: for the exercises in the course, there
should be (almost) no difference
starting with a minimal distribution: use Miniconda:
http://conda.pydata.org/miniconda.html: pick the right
installer (e.g. 64 bit)
Vlad PA196: Pattern Recognition
Example:
download the "Python 3.4/64 bit" version of Miniconda
it may require chmod +x
Miniconda3-3.6.0-Linux-x86_64.sh
run the installer
even though the base distribution is Python 3.4 you can still
have Python 2.7 installed as well
browse through the documentation
with conda install anaconda you will get all the packages
as in the basic "Anaconda"; alternatively you can install them
on a as-needed basis
install the machine learning kit: conda install
scikit-learn
Vlad PA196: Pattern Recognition
About Python language
tons of source of information
quick introduction:
https://docs.python.org/2/tutorial/
more detailed - but free book:
http://www.diveintopython.net/
Vlad PA196: Pattern Recognition
IPython
great tool for interactive sessions with Python
www.ipython.org
you can have mixed code, text and results in the same
notebook, like in Mathematica
try: ipython qtconsole matplotlib inline
and in the console:
from matplotlib import pylab as plt
plt.plot([1,2,3],[4,5,6])
try (from the command line): ipython notebook
and then open the web page at http://127.0.0.1:8888
Vlad PA196: Pattern Recognition
Several key packages:
numpy: fast array operations and matrix manipulation
scipy: loads of numerical methods, including some functions
for signal and image processing
matplotlib: Matlab-style plotting functions - and not only!
pandas: versatile package for data analysis
scikit-image: image processing (beyond scipy)
scikit-learn: our main interest
Vlad PA196: Pattern Recognition
Scikit-Learn
http://scikit-learn.org/
nice Python package for machine learning/pattern recognition
good documentation
still under development
start Python: ipython matplotlib qt
let’s go through the tutorial at http://scikit-learn.org/
stable/tutorial/basic/tutorial.html
Vlad PA196: Pattern Recognition