com.amazonaws.services.lookoutequipment.model

Class CreateInferenceSchedulerRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.lookoutequipment.model.CreateInferenceSchedulerRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class CreateInferenceSchedulerRequest
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
CreateInferenceSchedulerRequest()

Method Summary

Modifier and Type	Method and Description
CreateInferenceSchedulerRequest	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.
Long	getDataDelayOffsetInMinutes() A period of time (in minutes) by which inference on the data is delayed after the data starts.
InferenceInputConfiguration	getDataInputConfiguration() Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
InferenceOutputConfiguration	getDataOutputConfiguration() Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.
String	getDataUploadFrequency() How often data is uploaded to the source S3 bucket for the input data.
String	getInferenceSchedulerName() The name of the inference scheduler being created.
String	getModelName() The name of the previously trained ML model being used to create the inference scheduler.
String	getRoleArn() The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.
String	getServerSideKmsKeyId() Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.
List<Tag>	getTags() Any tags associated with the inference scheduler.
int	hashCode()
void	setClientToken(String clientToken) A unique identifier for the request.
void	setDataDelayOffsetInMinutes(Long dataDelayOffsetInMinutes) A period of time (in minutes) by which inference on the data is delayed after the data starts.
void	setDataInputConfiguration(InferenceInputConfiguration dataInputConfiguration) Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
void	setDataOutputConfiguration(InferenceOutputConfiguration dataOutputConfiguration) Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.
void	setDataUploadFrequency(String dataUploadFrequency) How often data is uploaded to the source S3 bucket for the input data.
void	setInferenceSchedulerName(String inferenceSchedulerName) The name of the inference scheduler being created.
void	setModelName(String modelName) The name of the previously trained ML model being used to create the inference scheduler.
void	setRoleArn(String roleArn) The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.
void	setServerSideKmsKeyId(String serverSideKmsKeyId) Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.
void	setTags(Collection<Tag> tags) Any tags associated with the inference scheduler.
String	toString() Returns a string representation of this object.
CreateInferenceSchedulerRequest	withClientToken(String clientToken) A unique identifier for the request.
CreateInferenceSchedulerRequest	withDataDelayOffsetInMinutes(Long dataDelayOffsetInMinutes) A period of time (in minutes) by which inference on the data is delayed after the data starts.
CreateInferenceSchedulerRequest	withDataInputConfiguration(InferenceInputConfiguration dataInputConfiguration) Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
CreateInferenceSchedulerRequest	withDataOutputConfiguration(InferenceOutputConfiguration dataOutputConfiguration) Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.
CreateInferenceSchedulerRequest	withDataUploadFrequency(DataUploadFrequency dataUploadFrequency) How often data is uploaded to the source S3 bucket for the input data.
CreateInferenceSchedulerRequest	withDataUploadFrequency(String dataUploadFrequency) How often data is uploaded to the source S3 bucket for the input data.
CreateInferenceSchedulerRequest	withInferenceSchedulerName(String inferenceSchedulerName) The name of the inference scheduler being created.
CreateInferenceSchedulerRequest	withModelName(String modelName) The name of the previously trained ML model being used to create the inference scheduler.
CreateInferenceSchedulerRequest	withRoleArn(String roleArn) The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.
CreateInferenceSchedulerRequest	withServerSideKmsKeyId(String serverSideKmsKeyId) Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.
CreateInferenceSchedulerRequest	withTags(Collection<Tag> tags) Any tags associated with the inference scheduler.
CreateInferenceSchedulerRequest	withTags(Tag... tags) Any tags associated with the inference scheduler.

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

CreateInferenceSchedulerRequest

public CreateInferenceSchedulerRequest()

Method Detail

setModelName

public void setModelName(String modelName)

The name of the previously trained ML model being used to create the inference scheduler.

Parameters:

modelName - The name of the previously trained ML model being used to create the inference scheduler.

getModelName

public String getModelName()

The name of the previously trained ML model being used to create the inference scheduler.

Returns:

The name of the previously trained ML model being used to create the inference scheduler.

withModelName

public CreateInferenceSchedulerRequest withModelName(String modelName)

The name of the previously trained ML model being used to create the inference scheduler.

Parameters:

modelName - The name of the previously trained ML model being used to create the inference scheduler.

Returns:

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

setInferenceSchedulerName

public void setInferenceSchedulerName(String inferenceSchedulerName)

The name of the inference scheduler being created.

Parameters:

inferenceSchedulerName - The name of the inference scheduler being created.

getInferenceSchedulerName

public String getInferenceSchedulerName()

The name of the inference scheduler being created.

Returns:

The name of the inference scheduler being created.

withInferenceSchedulerName

public CreateInferenceSchedulerRequest withInferenceSchedulerName(String inferenceSchedulerName)

The name of the inference scheduler being created.

Parameters:

inferenceSchedulerName - The name of the inference scheduler being created.

Returns:

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

setDataDelayOffsetInMinutes

public void setDataDelayOffsetInMinutes(Long dataDelayOffsetInMinutes)

A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.

Parameters:

dataDelayOffsetInMinutes - A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.

getDataDelayOffsetInMinutes

public Long getDataDelayOffsetInMinutes()

A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.

Returns:

A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.

withDataDelayOffsetInMinutes

public CreateInferenceSchedulerRequest withDataDelayOffsetInMinutes(Long dataDelayOffsetInMinutes)

A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.

Parameters:

dataDelayOffsetInMinutes - A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.

Returns:

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

setDataUploadFrequency

public void setDataUploadFrequency(String dataUploadFrequency)

How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

Parameters:

dataUploadFrequency - How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

See Also:

DataUploadFrequency

getDataUploadFrequency

public String getDataUploadFrequency()

How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

Returns:

How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

See Also:

DataUploadFrequency

withDataUploadFrequency

public CreateInferenceSchedulerRequest withDataUploadFrequency(String dataUploadFrequency)

How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

Parameters:

dataUploadFrequency - How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

Returns:

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

See Also:

DataUploadFrequency

withDataUploadFrequency

public CreateInferenceSchedulerRequest withDataUploadFrequency(DataUploadFrequency dataUploadFrequency)

How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

Parameters:

dataUploadFrequency - How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

Returns:

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

See Also:

DataUploadFrequency

setDataInputConfiguration

public void setDataInputConfiguration(InferenceInputConfiguration dataInputConfiguration)

Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.

Parameters:

dataInputConfiguration - Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.

getDataInputConfiguration

public InferenceInputConfiguration getDataInputConfiguration()

Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.

Returns:

Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.

withDataInputConfiguration

public CreateInferenceSchedulerRequest withDataInputConfiguration(InferenceInputConfiguration dataInputConfiguration)

Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.

Parameters:

dataInputConfiguration - Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.

Returns:

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

setDataOutputConfiguration

public void setDataOutputConfiguration(InferenceOutputConfiguration dataOutputConfiguration)

Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.

Parameters:

dataOutputConfiguration - Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.

getDataOutputConfiguration

public InferenceOutputConfiguration getDataOutputConfiguration()

Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.

Returns:

Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.

withDataOutputConfiguration

public CreateInferenceSchedulerRequest withDataOutputConfiguration(InferenceOutputConfiguration dataOutputConfiguration)

Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.

Parameters:

dataOutputConfiguration - Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.

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 for the inference.

Parameters:

roleArn - The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.

getRoleArn

public String getRoleArn()

The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.

Returns:

The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.

withRoleArn

public CreateInferenceSchedulerRequest withRoleArn(String roleArn)

The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.

Parameters:

roleArn - The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.

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 used to encrypt inference scheduler data by Amazon Lookout for Equipment.

Parameters:

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

getServerSideKmsKeyId

public String getServerSideKmsKeyId()

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

Returns:

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

withServerSideKmsKeyId

public CreateInferenceSchedulerRequest withServerSideKmsKeyId(String serverSideKmsKeyId)

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

Parameters:

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

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 CreateInferenceSchedulerRequest 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.

getTags

public List<Tag> getTags()

Any tags associated with the inference scheduler.

Returns:

Any tags associated with the inference scheduler.

setTags

public void setTags(Collection<Tag> tags)

Any tags associated with the inference scheduler.

Parameters:

tags - Any tags associated with the inference scheduler.

withTags

public CreateInferenceSchedulerRequest withTags(Tag... tags)

Any tags associated with the inference scheduler.

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 - Any tags associated with the inference scheduler.

Returns:

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

withTags

public CreateInferenceSchedulerRequest withTags(Collection<Tag> tags)

Any tags associated with the inference scheduler.

Parameters:

tags - Any tags associated with the inference scheduler.

Returns:

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

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 CreateInferenceSchedulerRequest 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()