Actors: Administrators
Preconditions: Administrator has accessed the Training Interface. A training job has been successfully queued.
Triggers: Administrator has queued job.
Scenario Description: The system begins to preprocess the selected dataset according to the specified parameters and configurations. Following preprocessing the training algorithm starts, updating the model to use the new data according to the chosen implementation algorithm.
Post Conditions: The model training process is completed successfully.
Exceptions: If training fails, then the job will halt and the interface will display the error.
Actors: Administrators Preconditions: Administrator has accessed the Training Interface. A training job has been successfully queued. Triggers: Administrator has queued job. Scenario Description: The system begins to preprocess the selected dataset according to the specified parameters and configurations. Following preprocessing the training algorithm starts, updating the model to use the new data according to the chosen implementation algorithm. Post Conditions: The model training process is completed successfully. Exceptions: If training fails, then the job will halt and the interface will display the error.