Support Vector Regression

Implemented $\epsilon$-SVR,$\nu$-SVR and Relevance Vector Machine(RVM) for regression. Tested on data generated by adding noise to sine function.

1). First run data.py - This generates the data by adding noise to sine funtion Data gets stored in "data.txt" file.

eps-SVR: svr_regress.py To run this code type following statement in the terminal.

python svr_regress.py < data.txt

nu SVR: vsvr_regress.py To run this code type following statement in the terminal.

python vsvr_regress.py < data.txt

RVM: rvm_regress.py To run this code type following statement in the terminal.

python rvm_regress.py < data.txt