# svr

**Repository Path**: li59135016_admin/svr

## Basic Information

- **Project Name**: svr
- **Description**: Support Vector Regression
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 2
- **Forks**: 1
- **Created**: 2020-06-28
- **Last Updated**: 2023-04-09

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# svr
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.

2)
eps-SVR:  svr_regress.py
To run this code type following statement in the terminal.

python svr_regress.py < data.txt

3)
nu SVR:  vsvr_regress.py
To run this code type following statement in the terminal.

python vsvr_regress.py < data.txt

4)
RVM:  rvm_regress.py
To run this code type following statement in the terminal.

python rvm_regress.py < data.txt