software.amazon.awssdk.services.lookoutequipment.model

Class ImportModelVersionRequest

java.lang.Object

software.amazon.awssdk.core.SdkRequest

software.amazon.awssdk.awscore.AwsRequest

software.amazon.awssdk.services.lookoutequipment.model.LookoutEquipmentRequest

software.amazon.awssdk.services.lookoutequipment.model.ImportModelVersionRequest

All Implemented Interfaces:

SdkPojo, ToCopyableBuilder<ImportModelVersionRequest.Builder,ImportModelVersionRequest>

@Generated(value="software.amazon.awssdk:codegen")
public final class ImportModelVersionRequest
extends LookoutEquipmentRequest
implements ToCopyableBuilder<ImportModelVersionRequest.Builder,ImportModelVersionRequest>

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static interface	ImportModelVersionRequest.Builder

Method Summary

Modifier and Type	Method and Description
static ImportModelVersionRequest.Builder	builder()
String	clientToken() A unique identifier for the request.
String	datasetName() The name of the dataset for the machine learning model being imported.
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.
InferenceDataImportStrategy	inferenceDataImportStrategy() Indicates how to import the accumulated inference data when a model version is imported.
String	inferenceDataImportStrategyAsString() Indicates how to import the accumulated inference data when a model version is imported.
LabelsInputConfiguration	labelsInputConfiguration() Returns the value of the LabelsInputConfiguration property for this object.
String	modelName() The name for the machine learning model to be created.
String	roleArn() The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the machine learning model.
List<SdkField<?>>	sdkFields()
static Class<? extends ImportModelVersionRequest.Builder>	serializableBuilderClass()
String	serverSideKmsKeyId() Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.
String	sourceModelVersionArn() The Amazon Resource Name (ARN) of the model version to import.
List<Tag>	tags() The tags associated with the machine learning model to be created.
ImportModelVersionRequest.Builder	toBuilder()
String	toString() Returns a string representation of this object.

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

sourceModelVersionArn

public final String sourceModelVersionArn()

The Amazon Resource Name (ARN) of the model version to import.

Returns:

The Amazon Resource Name (ARN) of the model version to import.

modelName

public final String modelName()

The name for the machine learning model to be created. If the model already exists, Amazon Lookout for Equipment creates a new version. If you do not specify this field, it is filled with the name of the source model.

Returns:

The name for the machine learning model to be created. If the model already exists, Amazon Lookout for Equipment creates a new version. If you do not specify this field, it is filled with the name of the source model.

datasetName

public final String datasetName()

The name of the dataset for the machine learning model being imported.

Returns:

The name of the dataset for the machine learning model being imported.

labelsInputConfiguration

public final LabelsInputConfiguration labelsInputConfiguration()

Returns the value of the LabelsInputConfiguration property for this object.

Returns:

The value of the LabelsInputConfiguration property for this object.

clientToken

public final String clientToken()

A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.

Returns:

A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.

roleArn

public final String roleArn()

The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the machine learning model.

Returns:

The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the machine learning model.

serverSideKmsKeyId

public final String serverSideKmsKeyId()

Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.

Returns:

Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.

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()

The tags associated with the machine learning model to be created.

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:

The tags associated with the machine learning model to be created.

inferenceDataImportStrategy

public final InferenceDataImportStrategy inferenceDataImportStrategy()

Indicates how to import the accumulated inference data when a model version is imported. The possible values are as follows:

• NO_IMPORT – Don't import the data.

• ADD_WHEN_EMPTY – Only import the data from the source model if there is no existing data in the target model.

• OVERWRITE – Import the data from the source model and overwrite the existing data in the target model.

If the service returns an enum value that is not available in the current SDK version, inferenceDataImportStrategy will return InferenceDataImportStrategy.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from inferenceDataImportStrategyAsString().

Returns:

Indicates how to import the accumulated inference data when a model version is imported. The possible values are as follows:

• NO_IMPORT – Don't import the data.

• ADD_WHEN_EMPTY – Only import the data from the source model if there is no existing data in the target model.

• OVERWRITE – Import the data from the source model and overwrite the existing data in the target model.

See Also:

InferenceDataImportStrategy

inferenceDataImportStrategyAsString

public final String inferenceDataImportStrategyAsString()

Indicates how to import the accumulated inference data when a model version is imported. The possible values are as follows:

• NO_IMPORT – Don't import the data.

• ADD_WHEN_EMPTY – Only import the data from the source model if there is no existing data in the target model.

• OVERWRITE – Import the data from the source model and overwrite the existing data in the target model.

If the service returns an enum value that is not available in the current SDK version, inferenceDataImportStrategy will return InferenceDataImportStrategy.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from inferenceDataImportStrategyAsString().

Returns:

Indicates how to import the accumulated inference data when a model version is imported. The possible values are as follows:

• NO_IMPORT – Don't import the data.

• ADD_WHEN_EMPTY – Only import the data from the source model if there is no existing data in the target model.

• OVERWRITE – Import the data from the source model and overwrite the existing data in the target model.

See Also:

InferenceDataImportStrategy

toBuilder

public ImportModelVersionRequest.Builder toBuilder()

Specified by:

toBuilder in interface ToCopyableBuilder<ImportModelVersionRequest.Builder,ImportModelVersionRequest>

Specified by:

toBuilder in class LookoutEquipmentRequest

builder

public static ImportModelVersionRequest.Builder builder()

serializableBuilderClass

public static Class<? extends ImportModelVersionRequest.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