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ProjectTemplate
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ProjectTemplate
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prepare_base_model
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Storage Buckets

README.md

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E2E

For DagsHub

MLFLOW_TRACKING_URI=https://dagshub.com/bindusara007/E2E.mlflow MLFLOW_TRACKING_USERNAME=bindusara007 MLFLOW_TRACKING_PASSWORD=e8b66976bf29ade7fc08e9ebb6c3b0bda784edd4 python script.py


export MLFLOW_TRACKING_URI=https://dagshub.com/bindusara007/E2E.mlflow

export MLFLOW_TRACKING_USERNAME=bindusara007

export MLFLOW_TRACKING_PASSWORD=e8b66976bf29ade7fc08e9ebb6c3b0bda784edd4

MLflow on AWS

Run the following command on EC2 machine




#Bucket_Name
mlflow server -h 0.0.0.0 --default-artifact-root s3://mlfb-e2e
export MLFLOW_TRACKING_URI=http://ec2-3-88-101-45.compute-1.amazonaws.com:5000/

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