Demos & Examples

Please note that the demo videos shared below may not represent Oracle’s official views. They have been posted by individual users on their personal channels.

Examples

Demo	Description
Run MLflow project on the local environment	1. Installing GML for CPUs conda environment 2. Introduction to the MLflow projects 3. Running sklearn_elasticnet_wine example 4. Checking the experiment’s result
Run MLflow project on the OCI DSC Jobs	1. OCI Data Science Jobs 2. Publishing GML for CPUs conda environment 3. Preparing configuration files 4. Running sklearn_elasticnet_wine example 5. Checking the experiment’s result
Run MLflow project on the DSC Jobs with BYOC	1. OCI Data Science Jobs 2. Bring Your Own Container 3. Publishing a container image to the OCR 4. Preparing configuration files 5. Running docker project example 6. Checking the experiment’s result
Run MLflow project on the Data Flow service	1. Running Spark Application on OCI Data Flow 2. Publishing PySpark 3.2 and Data Flow conda environment 3. Preparing configuration files 4. Allowing Data Flow to Access a Private Network 5. Running pyspark_ml_autologging project example 6. Checking the experiment’s result
Deploy MLflow model on OCI Data Science	1. Deploy Model on OCI Data Science 2. Publishing GML for CPUs conda environment 3. Preparing configuration files 4. Running sklearn_elasticnet_wine project example 5. Checking the experiment’s result