---
title: "Task Modeling"
slug: "nclue-task-vpc"
tags: ["NCLUE", "Task", "Task Model"]
updated: 2026-09-17T09:33:50Z
published: 2026-09-17T09:33:50Z
canonical: "guide.ncloud-docs.com/nclue-task-vpc"
stale: true
---

> ## Documentation Index
> Fetch the complete documentation index at: https://guide.ncloud-docs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Task Modeling

Available in VPC

You can use the **Task Modeling** menu interface to create and delete tasks.

## Task Modeling interface

The **Task Modeling** interface includes the following components:

![nclue-task-vpc_screen_ko](https://cdn.document360.io/6998976f-9d95-4df8-b847-d375892b92c2/Images/Documentation/nclue-task-vpc_screen_en.png?sv=2026-02-06&spr=https&st=2026-11-14T05%3A24%3A48Z&se=2026-11-14T06%3A24%3A48Z&sr=c&sp=r&sig=pFiKNpXb6OwDyklueJfLZ0sM1USjHspFowtMLRklvRA%3D)

| Component | Description |
| --- | --- |
| ① Menu name | Current menu name |
| ② Basic features | Basic features provided in the **Task Modeling** menu - **[Create a task]**: Click to [create a task](/docs/en/nclue-task-vpc#Task%EC%83%9D%EC%84%B1). - **[Features and pricing information]**: Click to go to the NCLUE service overview page. - **[Refresh]**: Click to refresh the Task list. |
| ③ **Delete** | Click to [delete a task](/docs/en/nclue-task-vpc#Task%EC%82%AD%EC%A0%9C) |
| 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. - **Idle**: 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, the Train and Test answer 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, 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](/docs/en/nclue-troubleshoot)). - **Creation date and time**: Date and time when task creation was requested. - **Completed at**: Date and time when task creation was completed. - **Feature**: Name of the feature used for task creation. - **NCLUE model**: Name of the NCLUE model used for feature creation. - When you click the **Train/Test detailed settings** toggle, 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 **Menu** > **All Services** > **AI Services** > **NCLUE**.
2. Click the **Task Modeling** menu.
3. Click **[Create a task]**.
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 the toggle 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 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 you want to apply to the task model from the dropdown menu.
      - For details on creating features, [Create a feature](/docs/en/nclue-feature-vpc#Feature%EC%83%9D%EC%84%B1).
      - Click ![i-nclue_refresh](https://cdn.document360.io/6998976f-9d95-4df8-b847-d375892b92c2/Images/Documentation/i-nclue-refresh.png?sv=2026-02-06&spr=https&st=2026-11-14T05%3A24%3A48Z&se=2026-11-14T06%3A24%3A48Z&sr=c&sp=r&sig=pFiKNpXb6OwDyklueJfLZ0sM1USjHspFowtMLRklvRA%3D) 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]**. However, after you create an Object Storage bucket, you must upload the ground truth dataset file to that bucket and click ![i-nclue_refresh](https://cdn.document360.io/6998976f-9d95-4df8-b847-d375892b92c2/Images/Documentation/i-nclue-refresh.png?sv=2026-02-06&spr=https&st=2026-11-14T05%3A24%3A48Z&se=2026-11-14T06%3A24%3A48Z&sr=c&sp=r&sig=pFiKNpXb6OwDyklueJfLZ0sM1USjHspFowtMLRklvRA%3D) so that the bucket appears in the dropdown menu. For details, see [Create an Object Storage bucket](/docs/en/objectstorage-use-bucket#%EB%B2%84%ED%82%B7%EC%83%9D%EC%84%B1).
    - **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.
        - Spaces.
5. Click **[Create]**.
  - 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.

              Caution

              

- Check the version of the NCLUE model. Tasks created from features based on deprecated models cannot be used. We recommend using the latest models.

## Delete a task

To delete a task:

              Caution

              

- Deleted tasks cannot be recovered. Be sure to review the task before deleting it.
- If the ground truth dataset used when creating the task is no longer needed, [delete](/docs/en/objectstorage-use-file#%ED%8C%8C%EC%9D%BC%ED%8F%B4%EB%8D%94%EA%B4%80%EB%A6%AC) 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 **Idle** or **In progress** status, **[Delete]** 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 **Menu** > **All 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]**.
4. Review the information in the Task deletion popup, then click **[Delete]**.
  - The task will be removed from the list.