Task Modeling

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Available in VPC.

Task Modeling explains the Task Modeling menu interface and describes how to create and delete Tasks.

Task Modeling interface

The Task Modeling menu interface is structured as follows.

nclue-task-vpc_screen_ko

Component Description
① Menu name Shows the current menu name.
② Basic features Basic features provided in the Task Modeling menu.
  • [Create a Task] button: Click to create a Task
  • [Features and pricing information] button: Click to go to the NCLUE service overview page.
  • [Refresh]: Click to refresh the Task list.
③ Delete Click to delete a Task
④ Task list List of created tasks
  • Task ID: Unique ID automatically assigned when the Task is created.
  • Task name: Name entered when creating the Task.
  • Status: Current status of the Task.
    • Registered: Task creation has been initiated.
    • Pending: Waiting before proceeding to the next step. If there are many requests, the wait time may be longer.
    • In progress: Task is being generated
    • Available: Task generation completed and available for use
    • Failed: Task generation failed.
  • Ground truth data bucket: Name of the Object Storage bucket where the answer dataset file is stored.
    • When you click the Train/Test detailed settings toggle button, the Train and Test groun truth dataset buckets are shown separately.
  • Ground truth data file path: Path where the answer dataset file is stored in the Object Storage bucket.
    • When you click the **Train/Test detailed settings ** toggle button, the Train and Test answer dataset file paths are shown separately.
  • Size: Size of the generated Task.
  • System message: Message displayed when Task creation fails (see NCLUE Troubleshooting).
  • Creation date: Timestamp when Task creation was requested.
  • Completed at: Timestamp when Task creation was completed.
  • Feature: Name of the feature used to create the task.
    • When you click the Train/Test detailed settings toggle button, the train and test features are shown separately.
  • Row count: Number of rows in the feature set.
  • AUROC: Area under the ROC curve; expresses Task Model performance as a value between 0 and 1.

Create a Task

You create a task by using a user feature together with an answer dataset. To create:

Note
  • Only one Task is created at a time, in the order that creation requests are received.
  • Task creation time may decrease or increase depending on available service resources.
  1. In the VPC environment of the NAVER Cloud Platform console, navigate to i_menu > Services > AI Services > NCLUE.
  2. Click the Task Modeling menu.
  3. Click [Create a Task] button.
  4. When the Task creation popup appears, configure the new Task.

    • Task name: Enter a unique name within 100 characters

    • Train/Test detailed settings: Click toggle button to manually configure the data used for Train and Test

      Note
      • You can use the dataset even if the labels are imbalanced, without any correction.
      • Train: Configure the training set used to train the model
      • Test: Configure the test set used to evaluate the trained model
      • If you do not configure these in detail, the NAVER Cloud Platform will split them automatically.

    • Ground truth data file: Ground truth dataset file to use for Task creation

      Caution
      • Files containing personal information (resident registration numbers, passport numbers, driver's license numbers, credit card numbers, mobile phone numbers, emails) cannot be used.
      • There is no upper limit on the size of the answer dataset that can be used. However, Object Storage fees will be charged depending on the storage size. However, Object Storage fees apply based on the storage size.
      Note
      • The minimum number of labels in the answer dataset is 100 samples each for labels 0 and 1.
      • You can use the dataset even if the labels are imbalanced, without any correction.
      • Feature: Select the feature to apply to the Task Model
        • For details on creating features, see Create a feature.
        • Click i-nclue_refresh to refresh the dropdown.
      • Storage bucket: Enter the path where the Ground truth dataset is stored within the Object Storage bucket.
        • To use a new Object Storage bucket, click [Create an Object Storage] button. However, after you create an Object Storage bucket, you must upload the ground truth dataset file to that bucket and click i-nclue_refresh so that the bucket appears in the dropdown menu. For details, see Object Storage Bucket Creation.
      • File path: Enter the path where the ground truth dataset is stored in the Object Storage bucket.
        • The following special characters cannot be used in file paths:
          • &$@;:+,?*\{}^%`[]<>~#|"'
          • Characters with ASCII codes 0–31 and 128–255 are also not allowed.
  5. Click [Create] button.
    • The Task appears in the list with the status Registered, and when Task creation is complete, the status changes to Available.
Note

Data for the created Task is stored in a space dedicated to the NCLUE service and cannot be viewed directly.

Delete a Task

To delete a Task:

Caution
  • Deleted Tasks cannot be recovered. Make sure you really want to delete a Task before proceeding.
  • If the ground truth dataset used when creating the Task is no longer needed, delete it from Object Storage. If you do not delete it, Object Storage fees will continue to be charged based on the size of the ground truth dataset.
Note
  • If you select a Task in Pending or In progress status, the [Delete] button will be disabled.
  • You can select and delete multiple Tasks at once.
  1. In the VPC environment of the NAVER Cloud Platform console, navigate to i_menu > Services > AI Services > NCLUE.
  2. Click the Task Modeling menu.
  3. In the Task list, select the Task you want to delete, then click [Delete] button.
  4. Review the information in the Task deletion popup, then click [Delete] button.
    • The Task will be removed from the list.