https://github.com/ging/fiware-mlops-supermarket

https://github.com/ging/fiware-mlops-supermarket

Last synced: 9 months ago
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• Host: GitHub
• URL: https://github.com/ging/fiware-mlops-supermarket
• Owner: ging
• Created: 2023-06-10T20:09:25.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-05-04T17:03:34.000Z (about 2 years ago)
• Last Synced: 2025-05-07T21:05:15.891Z (about 1 year ago)
• Language: JavaScript
• Size: 110 MB
• Stars: 5
• Watchers: 9
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# FIWARE Machine Learning and MLOps - Supermarket example

Create Docker Network

```

docker network create fiware

```

First time:

```

docker compose -f docker-compose.maven.yml up -d

```

Start base infraestructure

```

docker compose up -d

```

```

cd airflow

docker compose up -d

```

## With Airflow as orchestrator

- Access http://localhost:5000 to access MLFlow client

- Access http://localhost:3000 to watch the web

- Access http://localhost:8081 to access the Spark Cluster UI client

- Access http://localhost:8080 to access the Airflow Web UI (user: airflow, password: airflow)

Run airflow flows from the web (first training then predicting)

## Without Airflow as orchestrator

Start training job

```

docker compose -f docker-compose.submit_train.yml up -d

```

Start prediction job

```

docker compose -f docker-compose.submit_predict.yml up -d

```

Train again

Start training job

```

docker compose -f docker-compose.submit_train.yml up -d

```