Transforms

Save and load models with transform script, register them or publish them as an API through DS Lab module.

Check out a walk-through on how to use the Transform script inside Notebook.

You can write or upload a script containing the transform function to a Notebook and save a model based on it. You can also register the model as an API service. This entire process is completed in the below-given steps:

Saving and loading a Model with Transform script

• Navigate to a Notebook.

• Add a Code cell. Write or provide a transform script to the cell (In this case, it has been supplied in three cells).

• Run the cell(s) (In this case, run all the three cells).

• Add a new code cell and define the model.

• Add another cell and click the Save Model option for the newly added code cell.

• Specify the model name and type in the auto-generated script in the next code cell.

• Run the cell.

• Open the Transforms tab.

• The model gets saved under the Transforms tab.

• Add a new code cell.

• Load the transform model by using the checkbox.

• Run that cell.

• Insert a new code cell.

• Click the Transforms option for the code cell.

• The auto-generated script appears.

• Specify the train data.

• Run the code cell.

• It will display the transformed data below.

Registering a Transform Model

• Open the Transforms tab inside a Notebook.

• Click the ellipsis icon for the saved transform.

• Select the Register option for a listed transform.

• The Register Model dialog box opens to confirm the action.

• Click the Yes option.

• A confirmation message appears to inform the completion of the action.

• The model gets registered and listed under the Registered list of the models.​​

• Open a pipeline workflow with a DS Lab model runner component.

• The registered model gets listed under the Meta Information tab of the DS Lab model runner component inside the Data Pipeline module.

Publishing a Transform Model as API

The steps to publish a model as an API that contains transform remain the same as described for a Data Science Model. Refer to the Register a Model as an API Service page.