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mlops-example's Introduction

mlops-example

How to run

Create GCP projects

That's it.

Prepare GCP credentials

gcloud auth login  
gcloud init  
gcloud iam service-accounts create dsdemo  
your_project_id={enter your project_id}  
gcloud projects add-iam-policy-binding $your_project_id  --member "serviceAccount:dsdemo@$your_project_id.iam.gserviceaccount.com" --role "roles/owner"  
gcloud iam service-accounts keys  create dsdemo.json --iam-account  dsdemo@$your_project_id.iam.gserviceaccount.com

Set up

source local.env
poetry install

No UI

  1. Create and save model

poetry run python ml_api/model.py

  1. Setup server

poetry run python ml_api/server.py

  1. Request prediction

poetry run python ml_api/request.py

With UI

  1. Create and save model

poetry run python ml_api/model.py

  1. Setup server

poetry run python ml_api/dash_server.py

Reference

https://github.com/bgweber/DS_Production

https://www.amazon.co.jp/Data-Science-Production-Building-Pipelines/dp/165206463X

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