java.lang.Object
- software.amazon.awssdk.core.SdkRequest
- - software.amazon.awssdk.awscore.AwsRequest
  - - software.amazon.awssdk.services.sagemaker.model.SageMakerRequest
    - - software.amazon.awssdk.services.sagemaker.model.CreateMlflowTrackingServerRequest

All Implemented Interfaces:: SdkPojo, ToCopyableBuilder<CreateMlflowTrackingServerRequest.Builder,CreateMlflowTrackingServerRequest>

@Generated("software.amazon.awssdk:codegen")
public final class CreateMlflowTrackingServerRequest
extends SageMakerRequest
implements ToCopyableBuilder<CreateMlflowTrackingServerRequest.Builder,CreateMlflowTrackingServerRequest>

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static interface CreateMlflowTrackingServerRequest.Builder

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`String`	`artifactStoreUri()`	The S3 URI for a general purpose bucket to use as the MLflow Tracking Server artifact store.
`Boolean`	`automaticModelRegistration()`	Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry.
`static CreateMlflowTrackingServerRequest.Builder`	`builder()`
`boolean`	`equals(Object obj)`
`boolean`	`equalsBySdkFields(Object obj)`
`<T> Optional<T>`	`getValueForField(String fieldName, Class<T> clazz)`
`int`	`hashCode()`
`boolean`	`hasTags()`	For responses, this returns true if the service returned a value for the Tags property.
`String`	`mlflowVersion()`	The version of MLflow that the tracking server uses.
`String`	`roleArn()`	The Amazon Resource Name (ARN) for an IAM role in your account that the MLflow Tracking Server uses to access the artifact store in Amazon S3.
`Map<String,SdkField<?>>`	`sdkFieldNameToField()`
`List<SdkField<?>>`	`sdkFields()`
`static Class<? extends CreateMlflowTrackingServerRequest.Builder>`	`serializableBuilderClass()`
`List<Tag>`	`tags()`	Tags consisting of key-value pairs used to manage metadata for the tracking server.
`CreateMlflowTrackingServerRequest.Builder`	`toBuilder()`
`String`	`toString()`	Returns a string representation of this object.
`String`	`trackingServerName()`	A unique string identifying the tracking server name.
`TrackingServerSize`	`trackingServerSize()`	The size of the tracking server you want to create.
`String`	`trackingServerSizeAsString()`	The size of the tracking server you want to create.
`String`	`weeklyMaintenanceWindowStart()`	The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled.

Methods inherited from class software.amazon.awssdk.awscore.AwsRequest
overrideConfiguration

Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy

- Method Detail
  - trackingServerName
```
public final String trackingServerName()
```
    A unique string identifying the tracking server name. This string is part of the tracking server ARN.
    
    Returns:
    
    A unique string identifying the tracking server name. This string is part of the tracking server ARN.
  - artifactStoreUri
```
public final String artifactStoreUri()
```
    The S3 URI for a general purpose bucket to use as the MLflow Tracking Server artifact store.
    
    Returns:
    
    The S3 URI for a general purpose bucket to use as the MLflow Tracking Server artifact store.
  - trackingServerSize
```
public final TrackingServerSize trackingServerSize()
```
    The size of the tracking server you want to create. You can choose between "Small", "Medium", and "Large". The default MLflow Tracking Server configuration size is "Small". You can choose a size depending on the projected use of the tracking server such as the volume of data logged, number of users, and frequency of use.
    
    We recommend using a small tracking server for teams of up to 25 users, a medium tracking server for teams of up to 50 users, and a large tracking server for teams of up to 100 users.
    
    If the service returns an enum value that is not available in the current SDK version, trackingServerSize will return TrackingServerSize.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from trackingServerSizeAsString().
    
    Returns:
    
    The size of the tracking server you want to create. You can choose between "Small", "Medium", and "Large". The default MLflow Tracking Server configuration size is "Small". You can choose a size depending on the projected use of the tracking server such as the volume of data logged, number of users, and frequency of use.
    
    We recommend using a small tracking server for teams of up to 25 users, a medium tracking server for teams of up to 50 users, and a large tracking server for teams of up to 100 users.
    
    See Also:
    
    TrackingServerSize
  - trackingServerSizeAsString
```
public final String trackingServerSizeAsString()
```
    The size of the tracking server you want to create. You can choose between "Small", "Medium", and "Large". The default MLflow Tracking Server configuration size is "Small". You can choose a size depending on the projected use of the tracking server such as the volume of data logged, number of users, and frequency of use.
    
    We recommend using a small tracking server for teams of up to 25 users, a medium tracking server for teams of up to 50 users, and a large tracking server for teams of up to 100 users.
    
    If the service returns an enum value that is not available in the current SDK version, trackingServerSize will return TrackingServerSize.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from trackingServerSizeAsString().
    
    Returns:
    
    The size of the tracking server you want to create. You can choose between "Small", "Medium", and "Large". The default MLflow Tracking Server configuration size is "Small". You can choose a size depending on the projected use of the tracking server such as the volume of data logged, number of users, and frequency of use.
    
    We recommend using a small tracking server for teams of up to 25 users, a medium tracking server for teams of up to 50 users, and a large tracking server for teams of up to 100 users.
    
    See Also:
    
    TrackingServerSize
  - mlflowVersion
```
public final String mlflowVersion()
```
    The version of MLflow that the tracking server uses. To see which MLflow versions are available to use, see How it works.
    
    Returns:
    
    The version of MLflow that the tracking server uses. To see which MLflow versions are available to use, see How it works.
  - roleArn
```
public final String roleArn()
```
    The Amazon Resource Name (ARN) for an IAM role in your account that the MLflow Tracking Server uses to access the artifact store in Amazon S3. The role should have AmazonS3FullAccess permissions. For more information on IAM permissions for tracking server creation, see Set up IAM permissions for MLflow.
    
    Returns:
    
    The Amazon Resource Name (ARN) for an IAM role in your account that the MLflow Tracking Server uses to access the artifact store in Amazon S3. The role should have AmazonS3FullAccess permissions. For more information on IAM permissions for tracking server creation, see Set up IAM permissions for MLflow.
  - automaticModelRegistration
```
public final Boolean automaticModelRegistration()
```
    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 True. To disable automatic model registration, set this value to False. If not specified, AutomaticModelRegistration defaults to False.
    
    Returns:
    
    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 True. To disable automatic model registration, set this value to False. If not specified, AutomaticModelRegistration defaults to False.
  - weeklyMaintenanceWindowStart
```
public final String 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.
    
    Returns:
    
    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.
  - hasTags
```
public final boolean hasTags()
```
    For responses, this returns true if the service returned a value for the Tags property. This DOES NOT check that the value is non-empty (for which, you should check the isEmpty() method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified.
  - tags
```
public final List<Tag> tags()
```
    Tags consisting of key-value pairs used to manage metadata for the tracking server.
    
    Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
    
    This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the hasTags() method.
    
    Returns:
    
    Tags consisting of key-value pairs used to manage metadata for the tracking server.
  - toBuilder
```
public CreateMlflowTrackingServerRequest.Builder toBuilder()
```
    Specified by:
    
    toBuilder in interface ToCopyableBuilder<CreateMlflowTrackingServerRequest.Builder,CreateMlflowTrackingServerRequest>
    
    Specified by:
    
    toBuilder in class SageMakerRequest
  - builder
```
public static CreateMlflowTrackingServerRequest.Builder builder()
```
  - serializableBuilderClass
```
public static Class<? extends CreateMlflowTrackingServerRequest.Builder> serializableBuilderClass()
```
  - hashCode
```
public final int hashCode()
```
    Overrides:
    
    hashCode in class AwsRequest
  - equals
```
public final boolean equals(Object obj)
```
    Overrides:
    
    equals in class AwsRequest
  - equalsBySdkFields
```
public final boolean equalsBySdkFields(Object obj)
```
    Specified by:
    
    equalsBySdkFields in interface SdkPojo
  - toString
```
public final String toString()
```
    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    Overrides:
    
    toString in class Object
  - getValueForField
```
public final <T> Optional<T> getValueForField(String fieldName,
                                              Class<T> clazz)
```
    Overrides:
    
    getValueForField in class SdkRequest
  - sdkFields
```
public final List<SdkField<?>> sdkFields()
```
    Specified by:
    
    sdkFields in interface SdkPojo
  - sdkFieldNameToField
```
public final Map<String,SdkField<?>> sdkFieldNameToField()
```
    Specified by:
    
    sdkFieldNameToField in interface SdkPojo

Class CreateMlflowTrackingServerRequest

Nested Class Summary

Method Summary

Methods inherited from class software.amazon.awssdk.awscore.AwsRequest

Methods inherited from class java.lang.Object

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder

Method Detail

trackingServerName

artifactStoreUri

trackingServerSize

trackingServerSizeAsString

mlflowVersion

roleArn

automaticModelRegistration

weeklyMaintenanceWindowStart

hasTags

tags

toBuilder

builder

serializableBuilderClass

hashCode

equals

equalsBySdkFields

toString

getValueForField

sdkFields

sdkFieldNameToField