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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for dsFramework-0.1.72-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fe102a1980de1742d4b8d8cfed98af68992d385bd7fe07b53003259192f1d142 |
|
MD5 | 51107beb4b80edb0aa4fbcf544c6d0c1 |
|
BLAKE2b-256 | e364b33f646721dd49737a869a14185b30684936534690abbc87bbc602ca0352 |