Metadata-Version: 2.1
Name: dsFramework
Version: 0.1.97
Summary: Data science framework library
Home-page: UNKNOWN
Author: oribrau@gmail.com
License: MIT
Description: # ds-framework
        data science framework
        
        #how to install
        pip install dsframework
        
        #how to use
        ##list of commands:
        * dsf-cli - to get all cli options
        
        
        * dsf-cli generate project my-new-project - to generate new project named my-new-project
        
        ## inside generated project folder 
        (cd my-new-folder)
        * dsf-cli g forcer my-new-forcer - creating new forcer (will be automatically injected to pipeline after last exist forcer)
        
        
        * dsf-cli g predictable my-new-predictable - creating new predictable (will be automatically injected to pipeline after last exist predictable)
        
        
        * dsf-cli run-server - will run local server with port 8080\
          available endpoints depend on project\
          http://localhost:8080/parse, http://localhost:8080/predict \
          will validate input based on input scheme and execute pipeline\
          http://localhost:8080/test \
          will run mock test using Data science portal
        
        
        * dsf-cli create-deploy-files - deploy files generated automatically when creating new project this is an option to create all non exist deploy files, 
        
          * if deploy file was deleted by mistake you can recreate it 
        
          * if dsframework version was update with updated deploy files you can delete deploy files and recreate them
        
        * dsf-cli create-cloud-eval-files - cloud eval files this is an option to create all non exist cloud eval files
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
