Create a Data Cloud template configuration to generate prediction scores for your use
case. The template configuration creates a Data Cloud app, an Einstein Discovery model, and
preconfigured recipes based on the settings defined in the template configuration.
Required Editions
| Available in: Lightning Experience |
| User Permissions Needed |
| To create a Data Cloud template configuration: |
Scoring Framework Admin |
| To install a Data Cloud app: |
Manage Data Cloud Templated Apps |
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From Setup, in the Quick Find box, enter Industries Cloud Einstein,
and then select Scoring Framework.
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In the New Template Configuration card, click
.
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Select the template configuration type that’s relevant for your scoring use case.
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Enter a unique label for the template configuration.
The API name of the template configuration is automatically populated based on the
label and can’t be edited.
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Select whether you want to only train or want to train and deploy the Einstein Discovery
model for your use case.
The Einstein Discovery model is a part of the Data Cloud app that’s created based on the
template configuration. You can validate the input features and prediction accuracy of your
model by only training it. You can then train and deploy the model.
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If needed, enter a description for the template configuration.
The template configuration’s description appears on the template configuration’s card on
the Scoring Framework Setup page.
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Do one of these:
- To create the template configuration and then to continue to define it, click
Save & Continue.
- To stop creating the template configuration and return to the Scoring Framework Setup
page, click Back.
