• Implement the PLA learning algorithm (using Python) and analyze its performance using different training sets

• DataEmit.py : Generate the training data
• PLA.py : Output the learned weight and plot graph using PLA Algorithm

Make sure you have installed all of the following prerequisites on your development machine:

• Python - Download & Install Python. Version: Python 2.7.15 (default, Jan 12 2019, 21:07:57)
• Git(Optional) - Download & Install Git. MacOSX and Linux machines typically have this already installed.
• Runtime Environment - Terminal in MacOSX

$ git clone https://github.com/alexsbc303/PLA-Learning-Algorithm.git

Run DataEmit.py

$ cd PLA-Learning-Algorithm
$ python DataEmit.py [5,2,3] 10 10

Run PLA.py (after generating data by DataEmit.py)

$ cd PLA-Learning-Algorithm
$ python PLA.py train.txt

• X-axis - x1
• Y-axis - x2
• Black line - Random generated line
• Purple line - Final PLA line