Score a Model

Perform the following steps to score a model from the View Model Catalog page:

1. In the View Model Catalog page, click Action next to corresponding model and select Score Model.
   The Score Model drawer appears.

   Figure 11-63 Score Model Drawer

   
   

   

   
   
2. Select the scoring dataset from the Select Scoring Dataset drop-down menu.
3. Select a scoring metric from the Scoring Metrics drop-down list.
4. Select a conda environment from the Conda Environment drop-down list.

   The selected Conda environment is sourced from the model context and is passed through to the backend for each operation so that the appropriate environment can be activated before executing the Python code. The Conda environment can be selected for models that are built from model catalog or model pipeline.

5. Select the average type from the Average Type drop-down list.
6. Select either Yes or No in the Do you want to split the dataset for scoring section as per your requirement.
7. Click Score Model.