Register Model

Uploading a Model

Currently, only mlflow environments are supported.

Select the Upload Model button.

On the Upload Model page, enter the name of the model you want to register and upload the model file. Please make sure to upload the model according to the selected API environment.

API Environment

MLflow

MLflow is an open-source MLOps platform for managing and deploying machine learning models. The MLflow API environment supports running models created with MLflow.

Model Structure

An MLflow model has the following structure.

# https://mlflow.org/docs/latest/models.html#mlmodel-file
my_model/
├── MLmodel
├── model.pkl
├── conda.yaml
├── python_env.yaml
└── requirements.txt

For more information about models, please refer to the following page: https://mlflow.org/docs/latest/models.html

Example Projects

MLflow provides various example projects that can be used to create models. You can refer to the following examples:

• https://github.com/mlflow/mlflow-example

• https://mlflow.org/docs/latest/tutorials-and-examples/index.html

• https://github.com/mlflow/mlflow/tree/master/examples/docker

• https://mlserver.readthedocs.io/en/latest/examples/mlflow/README.html