oci-mlflow 1.0b0

OCI MLflow plugin to use OCI resources within MLflow

OCI Mlflow Plugin

The OCI MLflow plugin enables OCI users to use OCI resources to manage their machine learning usecase life cycle. This table below provides the mapping between the MLflow features and the OCI resources that are used.

MLflow Use Case	OCI Resource
User running machine learning experiments on notebook, logs model artifacts, model performance etc	Data Science Jobs, Object Storage, MySQL
Batch workloads using spark	Data Flow, Object Storage, MySQL
Model Deployment	Data Science Model Deployment
User running machine learning experiments on notebook, logs model artifacts, model performance etc	Object Storage, MySQL

Installation

To install the oci-mlflow plugin call -

  python3 -m pip install oci-mlflow

To test the oci-mlflow plugin call -

  mlflow deployments help -t oci-datascience