Import Model
External models can be imported into the Data Science Lab and experimented inside the Notebooks.
Last updated
External models can be imported into the Data Science Lab and experimented inside the Notebooks.
Last updated
Navigate to the Model tab.
Click the Import Model option.
The user gets redirected to upload the model file.
A notification message appears.
The imported model gets added to the model list.
The user can start a new Notebook with wrapper function that includes Data, Imported Model, Predict function, and output Dataset with predictions.
Register the Imported Model from the Models tab given on the Notebook page.
The Register Model dialog box appears to confirm about the model registration.
Click the Yes option.
A notification message appears, and the model gets registered.
Export the script using the Export functionality provided for the Notebooks on the Notebook List page.
The Export to Pipeline window appears.
Select a specific script from the Notebook.
Select the Next option.
Click the Validate icon to validate the script.
A notification message appears to assure the validity of the script.
Click the Export to Pipeline option.
A notification message appears to assure that the selected Notebook has been exported.
Navigate to the Data Pipeline Workflow editor.
Drag the DS Lab Script Runner component and configure it.
Select the script name from the drop-down option.
The exported model along with the script can be accessed inside the Script Runner component.
The user can connect the DS Lab Script Runner component to an Input Event.
Run the Pipeline.
The model predictions can be generated in the Preview tab of the connected Input Event.
Please Note: The Imported models are referred as External models in model list and they are marked with as pre-fix to their names (as displayed in the above-given image).
Refer the page to get an overview of the Data Science Lab module in nutshell.
