com.amazonaws.services.lookoutequipment.model

Class ImportModelVersionRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.lookoutequipment.model.ImportModelVersionRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class ImportModelVersionRequest
extends AmazonWebServiceRequest
implements Serializable, Cloneable

See Also:

AWS API Documentation, Serialized Form

Field Summary

Fields inherited from class com.amazonaws.AmazonWebServiceRequest

NOOP

Constructor Summary

Constructors

Constructor and Description
ImportModelVersionRequest()

Method Summary

Modifier and Type	Method and Description
ImportModelVersionRequest	clone() Creates a shallow clone of this object for all fields except the handler context.
boolean	equals(Object obj)
String	getClientToken() A unique identifier for the request.
String	getDatasetName() The name of the dataset for the machine learning model being imported.
String	getInferenceDataImportStrategy() Indicates how to import the accumulated inference data when a model version is imported.
LabelsInputConfiguration	getLabelsInputConfiguration()
String	getModelName() The name for the machine learning model to be created.
String	getRoleArn() The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the machine learning model.
String	getServerSideKmsKeyId() Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.
String	getSourceModelVersionArn() The Amazon Resource Name (ARN) of the model version to import.
List<Tag>	getTags() The tags associated with the machine learning model to be created.
int	hashCode()
void	setClientToken(String clientToken) A unique identifier for the request.
void	setDatasetName(String datasetName) The name of the dataset for the machine learning model being imported.
void	setInferenceDataImportStrategy(String inferenceDataImportStrategy) Indicates how to import the accumulated inference data when a model version is imported.
void	setLabelsInputConfiguration(LabelsInputConfiguration labelsInputConfiguration)
void	setModelName(String modelName) The name for the machine learning model to be created.
void	setRoleArn(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.
void	setServerSideKmsKeyId(String serverSideKmsKeyId) Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.
void	setSourceModelVersionArn(String sourceModelVersionArn) The Amazon Resource Name (ARN) of the model version to import.
void	setTags(Collection<Tag> tags) The tags associated with the machine learning model to be created.
String	toString() Returns a string representation of this object.
ImportModelVersionRequest	withClientToken(String clientToken) A unique identifier for the request.
ImportModelVersionRequest	withDatasetName(String datasetName) The name of the dataset for the machine learning model being imported.
ImportModelVersionRequest	withInferenceDataImportStrategy(InferenceDataImportStrategy inferenceDataImportStrategy) Indicates how to import the accumulated inference data when a model version is imported.
ImportModelVersionRequest	withInferenceDataImportStrategy(String inferenceDataImportStrategy) Indicates how to import the accumulated inference data when a model version is imported.
ImportModelVersionRequest	withLabelsInputConfiguration(LabelsInputConfiguration labelsInputConfiguration)
ImportModelVersionRequest	withModelName(String modelName) The name for the machine learning model to be created.
ImportModelVersionRequest	withRoleArn(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.
ImportModelVersionRequest	withServerSideKmsKeyId(String serverSideKmsKeyId) Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.
ImportModelVersionRequest	withSourceModelVersionArn(String sourceModelVersionArn) The Amazon Resource Name (ARN) of the model version to import.
ImportModelVersionRequest	withTags(Collection<Tag> tags) The tags associated with the machine learning model to be created.
ImportModelVersionRequest	withTags(Tag... tags) The tags associated with the machine learning model to be created.

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

addHandlerContext, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

ImportModelVersionRequest

public ImportModelVersionRequest()

Method Detail

setSourceModelVersionArn

public void setSourceModelVersionArn(String sourceModelVersionArn)

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

Parameters:

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

getSourceModelVersionArn

public String getSourceModelVersionArn()

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

Returns:

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

withSourceModelVersionArn

public ImportModelVersionRequest withSourceModelVersionArn(String sourceModelVersionArn)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

setModelName

public void setModelName(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.

Parameters:

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.

getModelName

public String getModelName()

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.

withModelName

public ImportModelVersionRequest withModelName(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.

Parameters:

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:

Returns a reference to this object so that method calls can be chained together.

setDatasetName

public void setDatasetName(String datasetName)

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

Parameters:

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

getDatasetName

public String getDatasetName()

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.

withDatasetName

public ImportModelVersionRequest withDatasetName(String datasetName)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

setLabelsInputConfiguration

public void setLabelsInputConfiguration(LabelsInputConfiguration labelsInputConfiguration)

Parameters:

labelsInputConfiguration -

getLabelsInputConfiguration

public LabelsInputConfiguration getLabelsInputConfiguration()

Returns:

withLabelsInputConfiguration

public ImportModelVersionRequest withLabelsInputConfiguration(LabelsInputConfiguration labelsInputConfiguration)

Parameters:

labelsInputConfiguration -

Returns:

Returns a reference to this object so that method calls can be chained together.

setClientToken

public void setClientToken(String clientToken)

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

Parameters:

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

getClientToken

public String getClientToken()

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.

withClientToken

public ImportModelVersionRequest withClientToken(String clientToken)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

setRoleArn

public void setRoleArn(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.

Parameters:

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

getRoleArn

public String getRoleArn()

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.

withRoleArn

public ImportModelVersionRequest withRoleArn(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.

Parameters:

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:

Returns a reference to this object so that method calls can be chained together.

setServerSideKmsKeyId

public void setServerSideKmsKeyId(String serverSideKmsKeyId)

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

Parameters:

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

getServerSideKmsKeyId

public String getServerSideKmsKeyId()

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.

withServerSideKmsKeyId

public ImportModelVersionRequest withServerSideKmsKeyId(String serverSideKmsKeyId)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

getTags

public List<Tag> getTags()

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

Returns:

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

setTags

public void setTags(Collection<Tag> tags)

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

Parameters:

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

withTags

public ImportModelVersionRequest withTags(Tag... tags)

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

NOTE: This method appends the values to the existing list (if any). Use setTags(java.util.Collection) or withTags(java.util.Collection) if you want to override the existing values.

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

withTags

public ImportModelVersionRequest withTags(Collection<Tag> tags)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

setInferenceDataImportStrategy

public void setInferenceDataImportStrategy(String 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.

Parameters:

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.

See Also:

InferenceDataImportStrategy

getInferenceDataImportStrategy

public String getInferenceDataImportStrategy()

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.

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

withInferenceDataImportStrategy

public ImportModelVersionRequest withInferenceDataImportStrategy(String 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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

InferenceDataImportStrategy

withInferenceDataImportStrategy

public ImportModelVersionRequest withInferenceDataImportStrategy(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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

InferenceDataImportStrategy

toString

public 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

Returns:

A string representation of this object.

See Also:

Object.toString()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

clone

public ImportModelVersionRequest clone()

Description copied from class: AmazonWebServiceRequest

Creates a shallow clone of this object for all fields except the handler context. Explicitly does not clone the deep structure of the other fields in the message.

Overrides:

clone in class AmazonWebServiceRequest

See Also:

Object.clone()