Modifying a Training Job Configuration

Function

This API is used to modify a training job configuration.

URI

PUT /v1/{project_id}/training-job-configs/{config_name}

Table 1 describes the required parameters.

**Table 1** Parameters
Parameter	Mandatory	Type	Description
project_id	Yes	String	Project ID. For details about how to obtain a project ID, see Obtaining a Project ID and Name.
config_name	Yes	String	Name of a training job configuration

Request Body

Table 2 describes the request parameters.

**Table 2** Parameters
Parameter	Mandatory	Type	Description
config_desc	No	String	Description of a training job configuration. The value must contain 0 to 256 characters. By default, this parameter is left blank.
worker_server_num	Yes	Integer	Number of workers in a training job. Obtain the maximum value from Querying Job Resource Specifications.
app_url	Yes	String	Code directory of a training job, for example, /usr/app/. This parameter must be used together with boot_file_url. After setting model_id, you do not need to set app_url or boot_file_url, and engine_id.
boot_file_url	Yes	String	Boot file of a training job, which needs to be stored in the code directory, for example, /usr/app/boot.py. This parameter must be used together with app_url. After setting model_id, you do not need to set app_url or boot_file_url, and engine_id.
model_id	Yes	Long	Model ID of a training job. Obtain model_id by calling the API described in Querying a Built-in Algorithm. After setting model_id, you do not need to set app_url or boot_file_url, and engine_id.
parameter	No	Array<Object>	Running parameters of a training job. It is a collection of label-value pairs. This parameter is a container environment variable when a training job uses a custom image. For details, see Table 4.
spec_id	Yes	Long	ID of the resource specifications selected for a training job. Obtain the ID by calling the API described in Querying Job Resource Specifications.
data_url	No	String	OBS URL of the dataset required by a training job, for example, /usr/data/. This parameter cannot be used together with data_source or dataset_id and dataset_version_id. However, one of the parameters must exist.
dataset_id	No	String	Dataset ID of a training job. This parameter must be used together with dataset_version_id, but cannot be used together with data_url or data_source.
dataset_version_id	No	String	Dataset version ID of a training job. This parameter must be used together with dataset_id, but cannot be used together with data_url or data_source.
data_source	No	JSON Array	Dataset of a training job. This parameter cannot be used together with data_url or dataset_id and dataset_version_id. For details, see Table 3.
engine_id	Yes	Long	ID of the engine selected for a training job. The default value is 1. Obtain the ID by calling the API described in Querying Job Engine Specifications.
train_url	No	String	OBS URL of the output file of a training job. By default, this parameter is left blank. Example value: /usr/train/
log_url	No	String	OBS URL of the logs of a training job. By default, this parameter is left blank. Example value: /usr/train/
user_image_url	No	String	SWR URL of a custom image used by a training job. Example value: 100.125.5.235:20202/jobmng/custom-cpu-base:1.0
user_command	No	String	Boot command used to start the container of a custom image of a training job. The format is bash /home/work/run_train.sh python /home/work/user-job-dir/app/train.py {python_file_parameter}.

**Table 3** **data_source** parameters
Parameter	Mandatory	Type	Description
dataset_id	No	String	Dataset ID of a training job. This parameter must be used together with dataset_version_id, but cannot be used together with data_url.
dataset_version	No	String	Dataset version ID of a training job. This parameter must be used together with dataset_id, but cannot be used together with data_url.
type	No	String	Dataset type. The value can be obs or dataset. obs and dataset cannot be used at the same time.
data_url	No	String	OBS bucket path. This parameter cannot be used together with dataset_id or dataset_version.

**Table 4** **parameter** parameters
Parameter	Mandatory	Type	Description
label	No	String	Parameter name.
value	No	String	Parameter value.

Response Body

Table 5 describes the response parameters.

**Table 5** Parameters
Parameter	Type	Description
is_success	Boolean	Whether the request is successful
error_message	String	Error message of a failed API call. This parameter is not included when the API call succeeds.
error_code	String	Error code of a failed API call. For details, see Error Codes. This parameter is not included when the API call succeeds.

Sample Request

The following shows how to modify the job parameter configuration named config.

PUT    https://endpoint/v1/{project_id}/training-job-configs/config

{
    "config_desc": "This is config",
    "worker_server_num": 1,
    "app_url": "/usr/app/",
    "boot_file_url": "/usr/app/boot.py",
    "parameter": [
        {
            "label": "learning_rate",
            "value": 0.01
        },
        {
            "label": "batch_size",
            "value": 32
        }
    ],
    "spec_id": 1,
    "dataset_id": "38277e62-9e59-48f4-8d89-c8cf41622c24",
    "dataset_version_id": "2ff0d6ba-c480-45ae-be41-09a8369bfc90",
    "engine_id": 1,
    "train_url": "/usr/train/",
    "log_url": "/usr/log/",
    "model_id": 1
}

Sample Response

Successful response
```
{
    "is_success": true
}
```

Failed response

{
    "is_success": false,
    "error_message": "Error string",
    "error_code": "ModelArts.0105"
}

Status Code

For details about the status code, see Table 1.

Parent topic: Training Job Parameter Configuration

Previous topic: Querying a List of Training Job Configurations

Next topic: Deleting a Training Job Configuration

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