Data science framework library
Project 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
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