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The following vulnerabilities are fixed with an upgrade: - https://snyk.io/vuln/SNYK-DEBIAN11-AOM-1290331 - https://snyk.io/vuln/SNYK-DEBIAN11-AOM-1298721 - https://snyk.io/vuln/SNYK-DEBIAN11-AOM-1300249 - https://snyk.io/vuln/SNYK-DEBIAN11-UNZIP-2396444 - https://snyk.io/vuln/SNYK-DEBIAN11-UNZIP-2396445
MlFlow Integration Test
We have prepared a small test to check the MlFlow ingestion.
We have used a decoupled architecture for MlFlow with:
mlflow
running in a remote serverminio
as the artifact storemysql
as the registry
To run this test:
cd
into this directorymake build
pip install mlflow-skinny sklearn
. We use the skinny one for the client.python experiment.py
should show new experiments in http://localhost:5000python train.py
will register a new modelmetadata ingest -c examples/workflows/mlflow.json
will run the workflow.