Creating a Model Version Set
Create a model version set in Data Science.
A model version set contains many entries, where each entry is a model reference (OCID). It includes fields for capturing version information for each version of a model.
- Use the Console to sign in to a tenancy with the necessary policies.
- Open the navigation menu and select Analytics & AI. Under Machine Learning, select Data Science.
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Select the compartment that contains the project that you want to create the model version set in.
All projects in the compartment are listed.
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Select the name of the project.
The project details page opens and lists the notebook sessions.
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Under Resources, click Models.
A tabular list of models in the compartment is displayed.
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Select Create model version set.
The create model version set page appears.
- Select the compartment to create the version set in.
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Enter the name for the version set.
The name must be unique within the compartment.
- (Optional) Enter a description to help you find the model version set.
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Select the models to add to the version set by selecting the checkbox next to
each model.
Only models that aren't in a version set are available for selection. The version numbers are automatically generated for each model that you add. They're assigned according to when the models were created, with the oldest having the lowest version number and the most recent having the highest number.
- (Optional) Enter a version label for each model selected.
- (Optional) Select Show Advanced Options to add tags.
- (Optional)
Enter the tag namespace (for a defined tag), key, and value to assign tags to the resource.
To add more than one tag, select Add tag.
Tagging describes the various tags that you can use organize and find resources including cost-tracking tags.
- Select Create.