Update an Existing Model

This article describes how to update an existing model using Jupyter or the ModelOp Command Center.

Table of Contents


Update an existing model using git

Changes made to the remote branch from which the model was imported into ModelOp Center will automatically sync with ModelOp Center. See Integrate with Git for more information.

Update an existing model using Jupyter

Update an Existing Model Using the ModelOp Command Center


To update a model using the ModelOp Command Center, you must:

  • Have an existing model, minimally in the form of a source code file (e.g. mymodel.py file).

  • Have registered the model with the ModelOp Center.

To update a model in ModelOp Command Center:

  1. Navigate to the ModelOp Command Center.

  2. In the left column, click Models.

  3. Select the model you want to modify from the list. This opens the Model Details page.

  4. In the “Details” tab of the Model Details page, the user can edit the Model Details, Metadata, or Functions that are used for initialization/training/scoring/metrics:

  5. In the “Assets” tab, the user can:

    1. Add additional Assets by clicking the “Add Assets” button:

    2. Modify existing assets by clicking on and individual asset. The asset details will appear in the side bar, allowing the user to edit the Asset Role or to Delete the asset, as desired:

  6. In the “Schemas” tab, the user can view the latest input and/or output schema files. To edit the Schema, see the Model Schemas page.


Next Article: Add Model-Specific Data Assets >