MLflow

is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. The of MLflow is available with the 2.4.0 tag.

After the node where you'd like to run MLflow is , you can set it up by following the steps of deployments as documented .

Once the deployment is successful, MLflow is ready to use at by default, as seen below.

Last updated 1 year ago

is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. The of MLflow is available with the 2.4.0 tag.

After the node where you'd like to run MLflow is , you can set it up by following the steps of deployments as documented .

Once the deployment is successful, MLflow is ready to use at by default, as seen below.

MLflow

Docker image

registered

here

http://localhost:5001/