Viewing a Model's Details

The model information details tab shows the model information, such as the model artifact, model directory, git details, training script, description, created by, created on, OCID, and so.

    1. On the Projects list page, select the project that contains the models that you want to work with. If you need help finding the list page or the project, see Listing Projects.
    2. On the project details page, select Models.
      All models in the selected project are displayed in a table, along with their model version sets.
    3. Select the model.

    The details page for the model opens and displays the model's description, creator, creation date and time, OCID, and model artifact file name and size. Access the various resources associated with the model by selecting their links or tabs. Links and tabs include associated model deployments and model provenance, taxonomy, introspection, and input and output model schemas.

    View the tests that ran on the client-side before you save the model to the model catalog by selecting score.py or runtime.yaml. The status is shown for each use case test as success, failed, or not tested. We recommend that all of your tests are successful before you save the model.

    The Git, model directory, and model training script metadata gives contextual information on the source code used to train the model stored in catalog. Diligent tracking of the provenance metadata improves model reproducibility and auditability. All these are optional.

  • Use the oci data-science model get command and required parameters to view a model's details:

    oci data-science model get --model-id <model-id> ... [OPTIONS]

    For a complete list of flags and variable options for CLI commands, see the CLI Command Reference.

  • Use the GetModel operation to view model details.