Edit service dataset

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Available in Classic and VPC

Set a service dataset.

Request

The following describes the request format for the endpoint. The request format is as follows:

Method	URI
POST	/services/{serviceId}/datasets

Request headers

For headers common to all AiTEMS APIs, see Common AiTEMS headers.

Request path parameters

The following describes the parameters.

Field	Type	Required	Description
`serviceId`	String	Required	Service ID Check through Get service list

Request body

The following describes the request body.

Field	Type	Required	Description
`datasetIds`	Array	Required	ID list of the dataset to set Check through Get dataset list All three types of dataset IDs (user, item, interaction) must be entered

Request example

The following is a sample request.

curl --location --request POST 'https://aitems.apigw.ntruss.com/api/v1/services/49qkb******/datasets' \
--header 'x-ncp-apigw-timestamp: {Timestamp}' \
--header 'x-ncp-iam-access-key: {Access Key}' \
--header 'x-ncp-apigw-signature-v2: {API Gateway Signature}' \
--header 'Content-Type: application/json' \
--data '{
    "datasetIds": [
        "bu457******", "oeq4i******", "g8rf6******"
    ]
}'

Response

The following describes the response format.

Response body

The following describes the response body.

Field	Type	Required	Description
`serviceId`	String	-	Service ID
`name`	String	-	Service name
`description`	String	-	Service description
`status`	String	-	Service status `scheduled` \| `scheduledLearning` \| `learnable` \| `learning` \| `deleting` \| `deleted` \| `disable` \| `drafted` \| `requestLearning` \| `datasetRequired` `scheduled`: scheduled `scheduledLearning`: scheduled training in progress `learnable`: trainable `learning`: training in progress `deleting`: deleting `deleted`: deleted `disable`: training unavailable `drafted`: draft status `requestLearning`: training requested `datasetRequired`: no dataset specified after service creation
`datasets`	Array	-	Information of dataset set to service
`hpConfigs`	Object	-	Hyperparameter optimization (HPO) settings information
`hpConfigs.is_enabled`	Boolean	-	HPO configuration status `true` \| `false` `true`: HPO configured, optimal training models can be implemented `false`: HPO not configured, trained by AiTEMS' own internal algorithms
`hpConfigs.{option}`	String, Long, Boolean	-	Configured HPO value See HPO for value details
`infers`	Array	-	Training result information Displayed only if `type` is `interval`
`createdDate`	String	-	Service creation date and time
`updatedDate`	String	-	Last update date and time of the service
`type`	String	-	Service type `batch` \| `interval` `batch`: one-time training upon execution `interval`: Retrain at regular intervals after execution
`learningInterval`	String	-	Dataset update cycle Displayed only if `type` is `interval`
`scheduledDate`	String	-	Dataset update scheduling time Displayed only if `type` is `interval`

`datasets`

The following describes datasets.

Field	Type	Required	Description
`datasetId`	String	-	Dataset ID set to the service
`type`	String	-	Dataset type set to the service `user` \| `item` \| `interaction` `user`: data containing user information (age, gender, etc.) `item`: data with product-related information (price, release date, category, etc.) `interaction`: data that captures the history of interactions between users and products
`name`	String	-	Dataset name set to the service
`schemaName`	String	-	Dataset schema name set to the service
`status`	String	-	Status of dataset set to the service `learnable` \| `disable` \| `uploading` \| `updateRequired` `learnable`: training available `disable`: training unavailable `uploading`: uploading `updatedRequired`: updated dataset registration required (automatically registered when training)
`createdDate`	String	-	Creation date and time of dataset set to the service
`updatedDate`	String	-	Last update date and time of dataset set to the service

`infers`

The following describes infers.

Field	Type	Required	Description
`dataType`	String	-	Dataset type of training result `user` \| `item` \| `interaction` `user`: data containing user information (age, gender, etc.) `item`: data with product-related information (price, release date, category, etc.) `interaction`: data that captures the history of interactions between users and products
`trainVersion`	String	-	Training result version
`status`	String	-	Training result status `enable` \| `waiting` \| `pending` \| `processing` \| `updateFailed` \| `disable` `enable`: update available `waiting`: waiting for update `pending`: pending update `processing`: updating `updateFailed`: update failed `disable`: update unavailable
`rowCount`	String	-	Result data count
`createdDate`	String	-	Data creation date and time
`updatedDate`	String	-	Last update date and time of data

Response status codes

For response status codes common to all AiTEMS APIs, see Common AiTEMS API response status codes.

Response example

The following is a sample example.

{
    "serviceId": "xv94v******",
    "name": "service1",
    "description": "",
    "status": "learnable",
    "datasets": [
        {
            "datasetId": "bu457******",
            "type": "interaction",
            "name": "interaction_dataset",
            "schemaName": "interaction_schema",
            "status": "learnable",
            "createdDate": "2024-07-30T09:49:19.254",
            "updatedDate": "2024-07-30T09:49:35.364"
        },
        {
            "datasetId": "oeq4i******",
            "type": "user",
            "name": "user_dataset",
            "schemaName": "user_schema",
            "status": "learnable",
            "createdDate": "2024-07-30T08:58:00.662",
            "updatedDate": "2024-07-30T08:58:35.205"
        },
        {
            "datasetId": "g8rf6******",
            "type": "item",
            "name": "item_dataset",
            "schemaName": "item_schema",
            "status": "learnable",
            "createdDate": "2024-07-29T16:46:35.968",
            "updatedDate": "2024-07-30T08:57:35.209"
        }
    ],
    "hpConfig": {
        "is_enabled": false
    },
    "infers": [],
    "createdDate": "2024-07-30T09:50:53.521",
    "updatedDate": "2024-07-30T09:52:49.575",
    "type": "batch"
}

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Edit service update cycle

Table of contents

Request
Response