CreateMlflowApp
Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store.
Request Syntax
{
"AccountDefaultStatus": "string",
"ArtifactStoreUri": "string",
"DefaultDomainIdList": [ "string" ],
"ModelRegistrationMode": "string",
"Name": "string",
"RoleArn": "string",
"Tags": [
{
"Key": "string",
"Value": "string"
}
],
"WeeklyMaintenanceWindowStart": "string"
}
Request Parameters
For information about the parameters that are common to all actions, see Common Parameters.
The request accepts the following data in JSON format.
- AccountDefaultStatus
-
Indicates whether this MLflow app is the default for the entire account.
Type: String
Valid Values:
ENABLED | DISABLEDRequired: No
- ArtifactStoreUri
-
The S3 URI for a general purpose bucket to use as the MLflow App artifact store.
Type: String
Length Constraints: Minimum length of 0. Maximum length of 1024.
Pattern:
(https|s3)://([^/]+)/?(.*)Required: Yes
- DefaultDomainIdList
-
List of SageMaker domain IDs for which this MLflow App is used as the default.
Type: Array of strings
Length Constraints: Minimum length of 0. Maximum length of 63.
Pattern:
d-(-*[a-z0-9]){1,61}Required: No
- ModelRegistrationMode
-
Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. To enable automatic model registration, set this value to
AutoModelRegistrationEnabled. To disable automatic model registration, set this value toAutoModelRegistrationDisabled. If not specified,AutomaticModelRegistrationdefaults toAutoModelRegistrationDisabled.Type: String
Valid Values:
AutoModelRegistrationEnabled | AutoModelRegistrationDisabledRequired: No
- Name
-
A string identifying the MLflow app name. This string is not part of the tracking server ARN.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 256.
Pattern:
[a-zA-Z0-9](-*[a-zA-Z0-9]){0,255}Required: Yes
- RoleArn
-
The Amazon Resource Name (ARN) for an IAM role in your account that the MLflow App uses to access the artifact store in Amazon S3. The role should have the
AmazonS3FullAccesspermission.Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern:
arn:aws[a-z\-]*:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+Required: Yes
- Tags
-
Tags consisting of key-value pairs used to manage metadata for the MLflow App.
Type: Array of Tag objects
Array Members: Minimum number of 0 items. Maximum number of 50 items.
Required: No
- WeeklyMaintenanceWindowStart
-
The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: TUE:03:30.
Type: String
Length Constraints: Minimum length of 0. Maximum length of 9.
Pattern:
(Mon|Tue|Wed|Thu|Fri|Sat|Sun):([01]\d|2[0-3]):([0-5]\d)Required: No
Response Syntax
{
"Arn": "string"
}
Response Elements
If the action is successful, the service sends back an HTTP 200 response.
The following data is returned in JSON format by the service.
- Arn
-
The ARN of the MLflow App.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 128.
Pattern:
arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:mlflow-app/.*
Errors
For information about the errors that are common to all actions, see Common Errors.
- ResourceLimitExceeded
-
You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.
HTTP Status Code: 400
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: