Create Mlflow App
| sagemaker_create_mlflow_app | R Documentation |
Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store¶
Description¶
Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store.
Usage¶
sagemaker_create_mlflow_app(Name, ArtifactStoreUri, RoleArn,
ModelRegistrationMode, WeeklyMaintenanceWindowStart,
AccountDefaultStatus, DefaultDomainIdList, Tags)
Arguments¶
Name |
[required] A string identifying the MLflow app name. This string is not part of the tracking server ARN. |
ArtifactStoreUri |
[required] The S3 URI for a general purpose bucket to use as the MLflow App artifact store. |
RoleArn |
[required] 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 |
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
|
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. |
AccountDefaultStatus |
Indicates whether this MLflow app is the default for the entire account. |
DefaultDomainIdList |
List of SageMaker domain IDs for which this MLflow App is used as the default. |
Tags |
Tags consisting of key-value pairs used to manage metadata for the MLflow App. |
Value¶
A list with the following syntax:
list(
Arn = "string"
)
Request syntax¶
svc$create_mlflow_app(
Name = "string",
ArtifactStoreUri = "string",
RoleArn = "string",
ModelRegistrationMode = "AutoModelRegistrationEnabled"|"AutoModelRegistrationDisabled",
WeeklyMaintenanceWindowStart = "string",
AccountDefaultStatus = "ENABLED"|"DISABLED",
DefaultDomainIdList = list(
"string"
),
Tags = list(
list(
Key = "string",
Value = "string"
)
)
)