dsFrameworkC 0.0.4

Data science framework library

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