This repository created to try mlflow technologies

• MLFlow Tutorial

 pip install mlflow

mlflow server --host 127.0.0.1 --port 8080

• Watch Video Using a Registry with a MLflow Model

• MLflow registry tutorial

• github

mlflow server --backend-store-uri sqlite:///mlflow.db --default-artifact-root /tmp/ --host 127.0.0.1:5000

this will show you create an empty registered model from the server and you can then create a model using UI

MLflow

This gives you direct way of logging MLflow Registry

This tutorial give you a thorough run through for a project. You can treat it as a template for MLflow