Metadata-Version: 2.1
Name: linearsvc
Version: 1.0.0
Summary: A svm classifier model for predicting license short_name
Home-page: UNKNOWN
Author: Sushant Kumar
Author-email: sushantmishra02102002@gmail.com
License: UNKNOWN
Description: ## About
        
        This is a simple python package of Linear support vector machine model trained on the Minerva dataset. The trained model can be used to
        predict the license shortname from the code.
        
        ### How to use
        
        - Installing the package:
          - `pip install linearsvc`
        - Import the trained model:
          - `from linearsvc import linearsvc`
        - How to use:
          - By calling sklearn's predict function:
            `classifier = linearsvc(processed_comment)`
            `predictor = classifier.classify()`
            `short_name = predictor.predict(processed_comment)`
          - By directly calling predict_shortname():
            `classifier = linearsvc(processed_comment)`
            `short_name = classifier.predict_shortname()`
        
Platform: UNKNOWN
Requires-Python: >=3.5
Description-Content-Type: text/markdown
