2021-12-12 03:40:19 +01:00
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# MlFlow Integration Test
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We have prepared a small test to check the MlFlow ingestion.
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We have used a decoupled architecture for MlFlow with:
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- `mlflow` running in a remote server
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- `minio` as the artifact store
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- `mysql` as the registry
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To run this test:
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- `cd` into this directory
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- `make build`
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- `pip install mlflow-skinny sklearn`. We use the skinny one for the client.
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- `python experiment.py` should show new experiments in http://localhost:5000
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- `python train.py` will register a new model
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2022-06-21 14:54:36 +02:00
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- `metadata ingest -c examples/workflows/mlflow.yaml` will run the workflow.
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