OCI MLflow plugin to use OCI resources within MLflow
Project description
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
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