Class AutoMLComputeConfig
- All Implemented Interfaces:
Serializable
,SdkPojo
,ToCopyableBuilder<AutoMLComputeConfig.Builder,
AutoMLComputeConfig>
This data type is intended for use exclusively by SageMaker Canvas and cannot be used in other contexts at the
moment.
Specifies the compute configuration for an AutoML job V2.
- See Also:
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Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionstatic AutoMLComputeConfig.Builder
builder()
The configuration for using EMR Serverless to run the AutoML job V2.final boolean
final boolean
equalsBySdkFields
(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final <T> Optional
<T> getValueForField
(String fieldName, Class<T> clazz) final int
hashCode()
static Class
<? extends AutoMLComputeConfig.Builder> Take this object and create a builder that contains all of the current property values of this object.final String
toString()
Returns a string representation of this object.Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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emrServerlessComputeConfig
The configuration for using EMR Serverless to run the AutoML job V2.
To allow your AutoML job V2 to automatically initiate a remote job on EMR Serverless when additional compute resources are needed to process large datasets, you need to provide an
EmrServerlessComputeConfig
object, which includes anExecutionRoleARN
attribute, to theAutoMLComputeConfig
of the AutoML job V2 input request.By seamlessly transitioning to EMR Serverless when required, the AutoML job can handle datasets that would otherwise exceed the initially provisioned resources, without any manual intervention from you.
EMR Serverless is available for the tabular and time series problem types. We recommend setting up this option for tabular datasets larger than 5 GB and time series datasets larger than 30 GB.
- Returns:
- The configuration for using EMR
Serverless to run the AutoML job V2.
To allow your AutoML job V2 to automatically initiate a remote job on EMR Serverless when additional compute resources are needed to process large datasets, you need to provide an
EmrServerlessComputeConfig
object, which includes anExecutionRoleARN
attribute, to theAutoMLComputeConfig
of the AutoML job V2 input request.By seamlessly transitioning to EMR Serverless when required, the AutoML job can handle datasets that would otherwise exceed the initially provisioned resources, without any manual intervention from you.
EMR Serverless is available for the tabular and time series problem types. We recommend setting up this option for tabular datasets larger than 5 GB and time series datasets larger than 30 GB.
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toBuilder
Description copied from interface:ToCopyableBuilder
Take this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilder
in interfaceToCopyableBuilder<AutoMLComputeConfig.Builder,
AutoMLComputeConfig> - Returns:
- a builder for type T
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builder
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serializableBuilderClass
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hashCode
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equals
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equalsBySdkFields
Description copied from interface:SdkPojo
Indicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojo
class, and is generated based on a service model.If an
SdkPojo
class does not have any inherited fields,equalsBySdkFields
andequals
are essentially the same.- Specified by:
equalsBySdkFields
in interfaceSdkPojo
- Parameters:
obj
- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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toString
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getValueForField
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sdkFields
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sdkFieldNameToField
- Specified by:
sdkFieldNameToField
in interfaceSdkPojo
- Returns:
- The mapping between the field name and its corresponding field.
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