@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class DescribeMlflowTrackingServerResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable, Cloneable
Constructor and Description |
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DescribeMlflowTrackingServerResult() |
Modifier and Type | Method and Description |
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DescribeMlflowTrackingServerResult |
clone() |
boolean |
equals(Object obj) |
String |
getArtifactStoreUri()
The S3 URI of the general purpose bucket used as the MLflow Tracking Server artifact store.
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Boolean |
getAutomaticModelRegistration()
Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.
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UserContext |
getCreatedBy() |
Date |
getCreationTime()
The timestamp of when the described MLflow Tracking Server was created.
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String |
getIsActive()
Whether the described MLflow Tracking Server is currently active.
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UserContext |
getLastModifiedBy() |
Date |
getLastModifiedTime()
The timestamp of when the described MLflow Tracking Server was last modified.
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String |
getMlflowVersion()
The MLflow version used for the described tracking server.
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String |
getRoleArn()
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.
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String |
getTrackingServerArn()
The ARN of the described tracking server.
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String |
getTrackingServerName()
The name of the described tracking server.
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String |
getTrackingServerSize()
The size of the described tracking server.
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String |
getTrackingServerStatus()
The current creation status of the described MLflow Tracking Server.
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String |
getTrackingServerUrl()
The URL to connect to the MLflow user interface for the described tracking server.
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String |
getWeeklyMaintenanceWindowStart()
The day and time of the week when weekly maintenance occurs on the described tracking server.
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int |
hashCode() |
Boolean |
isAutomaticModelRegistration()
Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.
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void |
setArtifactStoreUri(String artifactStoreUri)
The S3 URI of the general purpose bucket used as the MLflow Tracking Server artifact store.
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void |
setAutomaticModelRegistration(Boolean automaticModelRegistration)
Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.
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void |
setCreatedBy(UserContext createdBy) |
void |
setCreationTime(Date creationTime)
The timestamp of when the described MLflow Tracking Server was created.
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void |
setIsActive(String isActive)
Whether the described MLflow Tracking Server is currently active.
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void |
setLastModifiedBy(UserContext lastModifiedBy) |
void |
setLastModifiedTime(Date lastModifiedTime)
The timestamp of when the described MLflow Tracking Server was last modified.
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void |
setMlflowVersion(String mlflowVersion)
The MLflow version used for the described tracking server.
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void |
setRoleArn(String roleArn)
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.
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void |
setTrackingServerArn(String trackingServerArn)
The ARN of the described tracking server.
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void |
setTrackingServerName(String trackingServerName)
The name of the described tracking server.
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void |
setTrackingServerSize(String trackingServerSize)
The size of the described tracking server.
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void |
setTrackingServerStatus(String trackingServerStatus)
The current creation status of the described MLflow Tracking Server.
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void |
setTrackingServerUrl(String trackingServerUrl)
The URL to connect to the MLflow user interface for the described tracking server.
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void |
setWeeklyMaintenanceWindowStart(String weeklyMaintenanceWindowStart)
The day and time of the week when weekly maintenance occurs on the described tracking server.
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String |
toString()
Returns a string representation of this object.
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DescribeMlflowTrackingServerResult |
withArtifactStoreUri(String artifactStoreUri)
The S3 URI of the general purpose bucket used as the MLflow Tracking Server artifact store.
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DescribeMlflowTrackingServerResult |
withAutomaticModelRegistration(Boolean automaticModelRegistration)
Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.
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DescribeMlflowTrackingServerResult |
withCreatedBy(UserContext createdBy) |
DescribeMlflowTrackingServerResult |
withCreationTime(Date creationTime)
The timestamp of when the described MLflow Tracking Server was created.
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DescribeMlflowTrackingServerResult |
withIsActive(IsTrackingServerActive isActive)
Whether the described MLflow Tracking Server is currently active.
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DescribeMlflowTrackingServerResult |
withIsActive(String isActive)
Whether the described MLflow Tracking Server is currently active.
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DescribeMlflowTrackingServerResult |
withLastModifiedBy(UserContext lastModifiedBy) |
DescribeMlflowTrackingServerResult |
withLastModifiedTime(Date lastModifiedTime)
The timestamp of when the described MLflow Tracking Server was last modified.
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DescribeMlflowTrackingServerResult |
withMlflowVersion(String mlflowVersion)
The MLflow version used for the described tracking server.
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DescribeMlflowTrackingServerResult |
withRoleArn(String roleArn)
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.
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DescribeMlflowTrackingServerResult |
withTrackingServerArn(String trackingServerArn)
The ARN of the described tracking server.
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DescribeMlflowTrackingServerResult |
withTrackingServerName(String trackingServerName)
The name of the described tracking server.
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DescribeMlflowTrackingServerResult |
withTrackingServerSize(String trackingServerSize)
The size of the described tracking server.
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DescribeMlflowTrackingServerResult |
withTrackingServerSize(TrackingServerSize trackingServerSize)
The size of the described tracking server.
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DescribeMlflowTrackingServerResult |
withTrackingServerStatus(String trackingServerStatus)
The current creation status of the described MLflow Tracking Server.
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DescribeMlflowTrackingServerResult |
withTrackingServerStatus(TrackingServerStatus trackingServerStatus)
The current creation status of the described MLflow Tracking Server.
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DescribeMlflowTrackingServerResult |
withTrackingServerUrl(String trackingServerUrl)
The URL to connect to the MLflow user interface for the described tracking server.
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DescribeMlflowTrackingServerResult |
withWeeklyMaintenanceWindowStart(String weeklyMaintenanceWindowStart)
The day and time of the week when weekly maintenance occurs on the described tracking server.
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getSdkHttpMetadata, getSdkResponseMetadata, setSdkHttpMetadata, setSdkResponseMetadata
public void setTrackingServerArn(String trackingServerArn)
The ARN of the described tracking server.
trackingServerArn
- The ARN of the described tracking server.public String getTrackingServerArn()
The ARN of the described tracking server.
public DescribeMlflowTrackingServerResult withTrackingServerArn(String trackingServerArn)
The ARN of the described tracking server.
trackingServerArn
- The ARN of the described tracking server.public void setTrackingServerName(String trackingServerName)
The name of the described tracking server.
trackingServerName
- The name of the described tracking server.public String getTrackingServerName()
The name of the described tracking server.
public DescribeMlflowTrackingServerResult withTrackingServerName(String trackingServerName)
The name of the described tracking server.
trackingServerName
- The name of the described tracking server.public void setArtifactStoreUri(String artifactStoreUri)
The S3 URI of the general purpose bucket used as the MLflow Tracking Server artifact store.
artifactStoreUri
- The S3 URI of the general purpose bucket used as the MLflow Tracking Server artifact store.public String getArtifactStoreUri()
The S3 URI of the general purpose bucket used as the MLflow Tracking Server artifact store.
public DescribeMlflowTrackingServerResult withArtifactStoreUri(String artifactStoreUri)
The S3 URI of the general purpose bucket used as the MLflow Tracking Server artifact store.
artifactStoreUri
- The S3 URI of the general purpose bucket used as the MLflow Tracking Server artifact store.public void setTrackingServerSize(String trackingServerSize)
The size of the described tracking server.
trackingServerSize
- The size of the described tracking server.TrackingServerSize
public String getTrackingServerSize()
The size of the described tracking server.
TrackingServerSize
public DescribeMlflowTrackingServerResult withTrackingServerSize(String trackingServerSize)
The size of the described tracking server.
trackingServerSize
- The size of the described tracking server.TrackingServerSize
public DescribeMlflowTrackingServerResult withTrackingServerSize(TrackingServerSize trackingServerSize)
The size of the described tracking server.
trackingServerSize
- The size of the described tracking server.TrackingServerSize
public void setMlflowVersion(String mlflowVersion)
The MLflow version used for the described tracking server.
mlflowVersion
- The MLflow version used for the described tracking server.public String getMlflowVersion()
The MLflow version used for the described tracking server.
public DescribeMlflowTrackingServerResult withMlflowVersion(String mlflowVersion)
The MLflow version used for the described tracking server.
mlflowVersion
- The MLflow version used for the described tracking server.public void setRoleArn(String roleArn)
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.
roleArn
- 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.public String getRoleArn()
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.
public DescribeMlflowTrackingServerResult withRoleArn(String roleArn)
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.
roleArn
- 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.public void setTrackingServerStatus(String trackingServerStatus)
The current creation status of the described MLflow Tracking Server.
trackingServerStatus
- The current creation status of the described MLflow Tracking Server.TrackingServerStatus
public String getTrackingServerStatus()
The current creation status of the described MLflow Tracking Server.
TrackingServerStatus
public DescribeMlflowTrackingServerResult withTrackingServerStatus(String trackingServerStatus)
The current creation status of the described MLflow Tracking Server.
trackingServerStatus
- The current creation status of the described MLflow Tracking Server.TrackingServerStatus
public DescribeMlflowTrackingServerResult withTrackingServerStatus(TrackingServerStatus trackingServerStatus)
The current creation status of the described MLflow Tracking Server.
trackingServerStatus
- The current creation status of the described MLflow Tracking Server.TrackingServerStatus
public void setIsActive(String isActive)
Whether the described MLflow Tracking Server is currently active.
isActive
- Whether the described MLflow Tracking Server is currently active.IsTrackingServerActive
public String getIsActive()
Whether the described MLflow Tracking Server is currently active.
IsTrackingServerActive
public DescribeMlflowTrackingServerResult withIsActive(String isActive)
Whether the described MLflow Tracking Server is currently active.
isActive
- Whether the described MLflow Tracking Server is currently active.IsTrackingServerActive
public DescribeMlflowTrackingServerResult withIsActive(IsTrackingServerActive isActive)
Whether the described MLflow Tracking Server is currently active.
isActive
- Whether the described MLflow Tracking Server is currently active.IsTrackingServerActive
public void setTrackingServerUrl(String trackingServerUrl)
The URL to connect to the MLflow user interface for the described tracking server.
trackingServerUrl
- The URL to connect to the MLflow user interface for the described tracking server.public String getTrackingServerUrl()
The URL to connect to the MLflow user interface for the described tracking server.
public DescribeMlflowTrackingServerResult withTrackingServerUrl(String trackingServerUrl)
The URL to connect to the MLflow user interface for the described tracking server.
trackingServerUrl
- The URL to connect to the MLflow user interface for the described tracking server.public void setWeeklyMaintenanceWindowStart(String weeklyMaintenanceWindowStart)
The day and time of the week when weekly maintenance occurs on the described tracking server.
weeklyMaintenanceWindowStart
- The day and time of the week when weekly maintenance occurs on the described tracking server.public String getWeeklyMaintenanceWindowStart()
The day and time of the week when weekly maintenance occurs on the described tracking server.
public DescribeMlflowTrackingServerResult withWeeklyMaintenanceWindowStart(String weeklyMaintenanceWindowStart)
The day and time of the week when weekly maintenance occurs on the described tracking server.
weeklyMaintenanceWindowStart
- The day and time of the week when weekly maintenance occurs on the described tracking server.public void setAutomaticModelRegistration(Boolean automaticModelRegistration)
Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.
automaticModelRegistration
- Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.public Boolean getAutomaticModelRegistration()
Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.
public DescribeMlflowTrackingServerResult withAutomaticModelRegistration(Boolean automaticModelRegistration)
Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.
automaticModelRegistration
- Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.public Boolean isAutomaticModelRegistration()
Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.
public void setCreationTime(Date creationTime)
The timestamp of when the described MLflow Tracking Server was created.
creationTime
- The timestamp of when the described MLflow Tracking Server was created.public Date getCreationTime()
The timestamp of when the described MLflow Tracking Server was created.
public DescribeMlflowTrackingServerResult withCreationTime(Date creationTime)
The timestamp of when the described MLflow Tracking Server was created.
creationTime
- The timestamp of when the described MLflow Tracking Server was created.public void setCreatedBy(UserContext createdBy)
createdBy
- public UserContext getCreatedBy()
public DescribeMlflowTrackingServerResult withCreatedBy(UserContext createdBy)
createdBy
- public void setLastModifiedTime(Date lastModifiedTime)
The timestamp of when the described MLflow Tracking Server was last modified.
lastModifiedTime
- The timestamp of when the described MLflow Tracking Server was last modified.public Date getLastModifiedTime()
The timestamp of when the described MLflow Tracking Server was last modified.
public DescribeMlflowTrackingServerResult withLastModifiedTime(Date lastModifiedTime)
The timestamp of when the described MLflow Tracking Server was last modified.
lastModifiedTime
- The timestamp of when the described MLflow Tracking Server was last modified.public void setLastModifiedBy(UserContext lastModifiedBy)
lastModifiedBy
- public UserContext getLastModifiedBy()
public DescribeMlflowTrackingServerResult withLastModifiedBy(UserContext lastModifiedBy)
lastModifiedBy
- public String toString()
toString
in class Object
Object.toString()
public DescribeMlflowTrackingServerResult clone()