Skip to content

Implementation of FCA and Orcale-Learning for learning implication bases

Notifications You must be signed in to change notification settings

Demfier/Concept-Learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

59 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Concept-Learning

A module for FCA and Query-Learning

Contains the implementation of algorithms mentioned in

ToDo list:

  • FCA Part
  • PAC Learning
    • Implement the dataset sampler
    • Complete the approx-equivalent function
    • Implement HORN1
  • Regex Learning
    • Without POS
    • Incorporate POS information for potential regex conflicts for different clusters
  • Evaluation
    • Simple overlapping words evaluation
    • Original task metric (would require to implement regex)
  • Make automated pipeline for the entire dataset and get cumulative results
  • Modulify the code
    • Change directory structure
    • Add tests
    • Add usage documentation