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https://github.com/Toumash/mlflow-docker
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provide caddyfile basic auth for the mlflow
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@@ -5,7 +5,7 @@ from mlflow import mlflow,log_metric, log_param, log_artifacts
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if __name__ == "__main__":
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with mlflow.start_run() as run:
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mlflow.set_tracking_uri('http://localhost:5000')
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mlflow.set_tracking_uri('https://mlflow.localhost')
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print("Running mlflow_tracking.py")
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log_param("param1", randint(0, 100))
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