Register a Model
Register/Publish a DSL Model from the Model tab.
Please Note: The currently supported model types are: Sklearn (ML & CV), Keras (ML & CV), and PyTorch (ML).
Check out the walk-through to Register a DSL model to the Data Pipeline (from the Model tab).
The user can deploy a saved DSL model to the Data Pipeline plugin by using the Model tab.
Navigate to the Model tab.
Select a model (unregistered model) from the list.
Click the Register icon for the model.
The Deploy to Pipeline dialog box appears to confirm the action.
Click the Yes option.
The selected model gets published and deployed to the Data Pipeline (It disappears from the Unpublished model list).
A notification message appears to inform the same.
The model gets listed under the Registered model list.
Please Note:
The Register option provided under the Notebook tab and Model tab perform the same task.
Refer the Data Science Lab Quick Start Flow page to get an overview of the Data Science Lab module in nutshell. Click here to get redirected to the quick start flow page.
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