#[non_exhaustive]pub struct DescribeMlflowTrackingServerOutput {Show 16 fields
pub tracking_server_arn: Option<String>,
pub tracking_server_name: Option<String>,
pub artifact_store_uri: Option<String>,
pub tracking_server_size: Option<TrackingServerSize>,
pub mlflow_version: Option<String>,
pub role_arn: Option<String>,
pub tracking_server_status: Option<TrackingServerStatus>,
pub tracking_server_maintenance_status: Option<TrackingServerMaintenanceStatus>,
pub is_active: Option<IsTrackingServerActive>,
pub tracking_server_url: Option<String>,
pub weekly_maintenance_window_start: Option<String>,
pub automatic_model_registration: Option<bool>,
pub creation_time: Option<DateTime>,
pub created_by: Option<UserContext>,
pub last_modified_time: Option<DateTime>,
pub last_modified_by: Option<UserContext>,
/* private fields */
}
Fields (Non-exhaustive)§
This struct is marked as non-exhaustive
Struct { .. }
syntax; cannot be matched against without a wildcard ..
; and struct update syntax will not work.tracking_server_arn: Option<String>
The ARN of the described tracking server.
tracking_server_name: Option<String>
The name of the described tracking server.
artifact_store_uri: Option<String>
The S3 URI of the general purpose bucket used as the MLflow Tracking Server artifact store.
tracking_server_size: Option<TrackingServerSize>
The size of the described tracking server.
mlflow_version: Option<String>
The MLflow version used for the described tracking server.
role_arn: Option<String>
The Amazon Resource Name (ARN) for an IAM role in your account that the described MLflow Tracking Server uses to access the artifact store in Amazon S3.
tracking_server_status: Option<TrackingServerStatus>
The current creation status of the described MLflow Tracking Server.
tracking_server_maintenance_status: Option<TrackingServerMaintenanceStatus>
The current maintenance status of the described MLflow Tracking Server.
is_active: Option<IsTrackingServerActive>
Whether the described MLflow Tracking Server is currently active.
tracking_server_url: Option<String>
The URL to connect to the MLflow user interface for the described tracking server.
weekly_maintenance_window_start: Option<String>
The day and time of the week when weekly maintenance occurs on the described tracking server.
automatic_model_registration: Option<bool>
Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.
creation_time: Option<DateTime>
The timestamp of when the described MLflow Tracking Server was created.
created_by: Option<UserContext>
Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
last_modified_time: Option<DateTime>
The timestamp of when the described MLflow Tracking Server was last modified.
last_modified_by: Option<UserContext>
Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
Implementations§
Source§impl DescribeMlflowTrackingServerOutput
impl DescribeMlflowTrackingServerOutput
Sourcepub fn tracking_server_arn(&self) -> Option<&str>
pub fn tracking_server_arn(&self) -> Option<&str>
The ARN of the described tracking server.
Sourcepub fn tracking_server_name(&self) -> Option<&str>
pub fn tracking_server_name(&self) -> Option<&str>
The name of the described tracking server.
Sourcepub fn artifact_store_uri(&self) -> Option<&str>
pub fn artifact_store_uri(&self) -> Option<&str>
The S3 URI of the general purpose bucket used as the MLflow Tracking Server artifact store.
Sourcepub fn tracking_server_size(&self) -> Option<&TrackingServerSize>
pub fn tracking_server_size(&self) -> Option<&TrackingServerSize>
The size of the described tracking server.
Sourcepub fn mlflow_version(&self) -> Option<&str>
pub fn mlflow_version(&self) -> Option<&str>
The MLflow version used for the described tracking server.
Sourcepub fn role_arn(&self) -> Option<&str>
pub fn role_arn(&self) -> Option<&str>
The Amazon Resource Name (ARN) for an IAM role in your account that the described MLflow Tracking Server uses to access the artifact store in Amazon S3.
Sourcepub fn tracking_server_status(&self) -> Option<&TrackingServerStatus>
pub fn tracking_server_status(&self) -> Option<&TrackingServerStatus>
The current creation status of the described MLflow Tracking Server.
Sourcepub fn tracking_server_maintenance_status(
&self,
) -> Option<&TrackingServerMaintenanceStatus>
pub fn tracking_server_maintenance_status( &self, ) -> Option<&TrackingServerMaintenanceStatus>
The current maintenance status of the described MLflow Tracking Server.
Sourcepub fn is_active(&self) -> Option<&IsTrackingServerActive>
pub fn is_active(&self) -> Option<&IsTrackingServerActive>
Whether the described MLflow Tracking Server is currently active.
Sourcepub fn tracking_server_url(&self) -> Option<&str>
pub fn tracking_server_url(&self) -> Option<&str>
The URL to connect to the MLflow user interface for the described tracking server.
Sourcepub fn weekly_maintenance_window_start(&self) -> Option<&str>
pub fn weekly_maintenance_window_start(&self) -> Option<&str>
The day and time of the week when weekly maintenance occurs on the described tracking server.
Sourcepub fn automatic_model_registration(&self) -> Option<bool>
pub fn automatic_model_registration(&self) -> Option<bool>
Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.
Sourcepub fn creation_time(&self) -> Option<&DateTime>
pub fn creation_time(&self) -> Option<&DateTime>
The timestamp of when the described MLflow Tracking Server was created.
Sourcepub fn created_by(&self) -> Option<&UserContext>
pub fn created_by(&self) -> Option<&UserContext>
Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
Sourcepub fn last_modified_time(&self) -> Option<&DateTime>
pub fn last_modified_time(&self) -> Option<&DateTime>
The timestamp of when the described MLflow Tracking Server was last modified.
Sourcepub fn last_modified_by(&self) -> Option<&UserContext>
pub fn last_modified_by(&self) -> Option<&UserContext>
Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
Source§impl DescribeMlflowTrackingServerOutput
impl DescribeMlflowTrackingServerOutput
Sourcepub fn builder() -> DescribeMlflowTrackingServerOutputBuilder
pub fn builder() -> DescribeMlflowTrackingServerOutputBuilder
Creates a new builder-style object to manufacture DescribeMlflowTrackingServerOutput
.
Trait Implementations§
Source§impl Clone for DescribeMlflowTrackingServerOutput
impl Clone for DescribeMlflowTrackingServerOutput
Source§fn clone(&self) -> DescribeMlflowTrackingServerOutput
fn clone(&self) -> DescribeMlflowTrackingServerOutput
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moreSource§impl PartialEq for DescribeMlflowTrackingServerOutput
impl PartialEq for DescribeMlflowTrackingServerOutput
Source§fn eq(&self, other: &DescribeMlflowTrackingServerOutput) -> bool
fn eq(&self, other: &DescribeMlflowTrackingServerOutput) -> bool
self
and other
values to be equal, and is used by ==
.Source§impl RequestId for DescribeMlflowTrackingServerOutput
impl RequestId for DescribeMlflowTrackingServerOutput
Source§fn request_id(&self) -> Option<&str>
fn request_id(&self) -> Option<&str>
None
if the service could not be reached.impl StructuralPartialEq for DescribeMlflowTrackingServerOutput
Auto Trait Implementations§
impl Freeze for DescribeMlflowTrackingServerOutput
impl RefUnwindSafe for DescribeMlflowTrackingServerOutput
impl Send for DescribeMlflowTrackingServerOutput
impl Sync for DescribeMlflowTrackingServerOutput
impl Unpin for DescribeMlflowTrackingServerOutput
impl UnwindSafe for DescribeMlflowTrackingServerOutput
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