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-0.1.86-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 646a3d166662a2d447acfaca0961a91a0b927ef889b66a5eb663afd746c28e6e |
|
MD5 | d216a91fee2b9748f805a591b1d8628a |
|
BLAKE2b-256 | b52b260a81b3b6f07f9db501b4ed7b4ac25017b72b4f2a6fc6d3003b74820e17 |