Skip to content

Perceptron learning algorithm implemented in Python

License

Notifications You must be signed in to change notification settings

rmodi6/perceptron

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Perceptron

Adaptive Boosting

The path to dataset can be provided using the dataset parameter and mode parameter can be used to specify the mode in which to execute perceptron. There are two modes available: erm for Empirical Risk Minimization and cv for 10 fold Cross Validation. For example:

python perceptron.py --dataset 'path/to/dataset' --mode erm