Skip to content

Tesseract is a work-in-progress library for performing diverse feature selection for linear regression.

License

Notifications You must be signed in to change notification settings

lambday/tesseract

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

56 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Tesseract

Tesseract is a library for performing diverse feature selection for linear regression problems using spectral regularizers.

Instruction

  1. install the dependencies (mentioned below)
  2. create a directory named tests in the root directory
  3. run "make" for compiling lib, unit/integration tests (goes inside tests dir) and documentation
  4. run "make check" for running the tests

Dataset

  • MNIST dataset is obtained from here
  • Boston Housing dataset is obtained from here

Dependencies

About

Tesseract is a work-in-progress library for performing diverse feature selection for linear regression.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages