Sprint 2 Semester 2: Use Case Diagrams (download results, test, train Naive Bayes) - SD-Group-11/ml-frontend GitHub Wiki
Use Case Name - Download results
| Use Case Name | Download results |
|---|---|
| Initiating Actor | User |
| Triggering Event | User wants to download results file from the training or testing pages |
Preconditions
The user must have access to an internet connection. The user must have a test dataset uploaded if they are downloading testing results.
Postconditions
The file is downloaded onto the user's device.
Brief Description
The user can download files from the platform onto their device. They choose the filetype from all the drop down on the displayed ROC Curve or Confusion Matrix, it gets downloaded and then is on their device.
Basic Flow
- User clicks train/test button
- ROC Curve or Confusion is chosen to be displayed by the user
- User selects their desired filetype for their results from the dropdown on the RHS
- File is on user's device
Exceptions:
The system is offline.
Use Case Diagram:
Use Case Name - Train data
| Use Case Name | Upload file |
|---|---|
| Initiating Actor | User |
| Triggering Event | User wants to train data |
Preconditions
The user must have access to an internet connection. The user must be on the correct page - the Naive Bayes training page. There must be at least 1 dataset on the system.
Postconditions
The data has been trained.
Brief Description
The user can train a Naive Bayes model on the platform.
Basic Flow
- User selects file.
- User clicks button.
- Data is trained (visualisation shown).
Exceptions:
The system is offline. No file is chosen.
Use Case Diagram:
Use Case Name - Test data
| Use Case Name | Upload file |
|---|---|
| Initiating Actor | User |
| Triggering Event | User wants to test the their model |
Preconditions
The user must have access to an internet connection. The user must be on the correct page - the Naive Bayes training page. The user must have a training dataset uploaded or would like to upload.
Postconditions
The model is tested.
Brief Description
The user can test data on the platform using the uploaded files. If they do not have an associated testing dataset uploaded then they can upload directly from this page.
Basic Flow
- User selects dataset.
- If user has not uploaded an associated training dataset - click upload button and upload dataset
- User clicks testing button.
- Data is tested (visualisation shown).
Exceptions:
The system is offline. Data hasn't been trained Dataset does not have an associated testing dataset
Use Case Diagram:
