We have improved Machine Learning model management within our app with many little improvements but with key new features :

• Models are now versionned generating an alias each a model is trained or upload inside the app. You can set the one you desire as active or app will always take the most recent one.
• A brand new UI page allows you to browse all models, manage them and upload new ones manually.

Quick Action Points

The update is seamless but still minor changes are necessary ; if you already use a train script within a pipelines you need to adapt the context.set_model( ... ) to only pass the model as only required info or add extra parameters as named parameters and they will be stored as extra files.

See Model step for detailed explaination.

To go further

Please learn more about the model management and new principles directly from new documentation section about Models.