The MLflow Agent allows you to choose a published linear regression model from the MLflow repository, invoke the model with input value(s), and obtain the predicted outcome from the formula.
The Agent enables effective governance, empowering data scientists to promote a new version of the model within MLflow without necessitating any edits or republishing of the XMPro Data Stream. This promotion takes effect as long as long as the new version retains identical input/output properties.
Access to the following is required to use this Agent:
- An MLflow server, which serves details about experiments and published models.
At the time of writing, MLflow servers do not offer inbuilt methods of authentication. This Agent assumes that access to the infrastructure will not require authentication.