Validate a trained model

After a successful training run, validate your trained model against a validation dataset.

About this task

Only successfully trained models can be validated. Validation uses the validation data from the dataset.

Procedure

  1. From the cluster management console, select Workload > Spark > Deep Learning.
  2. Click the Models tab.
  3. Click the training model that you want to validate.
  4. Click the Training tab.
  5. Select the final training run and click Validate Trained Model.
  6. View the status of your validation, select the Validation Results tab.
    The validation is in Running state before it is completed and the state changes to Finished.

Results

Review the results of your validation.

What to do next

Create an inference model, see Create an inference model.