mlflow run . -e keras-nn-model -P drop_rate=0.3 -P output=128. The next two examples are from Deep Learning with Python. While the Jupyter notebooks can be found here, I have modified the code to ...

This is a template or sample for MLOps for Python based source code in Azure Databricks using MLflow without using MLflow Project. This template provides the following features: make databricks-deploy ...

If we have our own MLflow server, the MLflow Model Registry can be accessed through an API or UI, each of the ways having its own set of steps to be followed. Practical implementation. Following is an ...