DescribeInferenceSchedulerResult (AWS SDK for Java

java.lang.Object
- com.amazonaws.AmazonWebServiceResult<ResponseMetadata>
- - com.amazonaws.services.lookoutequipment.model.DescribeInferenceSchedulerResult

All Implemented Interfaces:: Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class DescribeInferenceSchedulerResult
extends AmazonWebServiceResult<ResponseMetadata>
implements Serializable, Cloneable

See Also:: AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

DescribeInferenceSchedulerResult()

Constructors
Constructor and Description
`DescribeInferenceSchedulerResult()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`DescribeInferenceSchedulerResult`	`clone()`
`boolean`	`equals(Object obj)`
`Date`	`getCreatedAt()` Specifies the time at which the inference scheduler was created.
`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 information for the output results for the inference scheduler, including the output S3 location.
`String`	`getDataUploadFrequency()` Specifies how often data is uploaded to the source S3 bucket for the input data.
`String`	`getInferenceSchedulerArn()` The Amazon Resource Name (ARN) of the inference scheduler being described.
`String`	`getInferenceSchedulerName()` The name of the inference scheduler being described.
`String`	`getLatestInferenceResult()` Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
`String`	`getModelArn()` The Amazon Resource Name (ARN) of the machine learning model of the inference scheduler being described.
`String`	`getModelName()` The name of the machine learning model of the inference scheduler being described.
`String`	`getRoleArn()` The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler being described.
`String`	`getServerSideKmsKeyId()` Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.
`String`	`getStatus()` Indicates the status of the inference scheduler.
`Date`	`getUpdatedAt()` Specifies the time at which the inference scheduler was last updated, if it was.
`int`	`hashCode()`
`void`	`setCreatedAt(Date createdAt)` Specifies the time at which the inference scheduler was created.
`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 information for the output results for the inference scheduler, including the output S3 location.
`void`	`setDataUploadFrequency(String dataUploadFrequency)` Specifies how often data is uploaded to the source S3 bucket for the input data.
`void`	`setInferenceSchedulerArn(String inferenceSchedulerArn)` The Amazon Resource Name (ARN) of the inference scheduler being described.
`void`	`setInferenceSchedulerName(String inferenceSchedulerName)` The name of the inference scheduler being described.
`void`	`setLatestInferenceResult(String latestInferenceResult)` Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
`void`	`setModelArn(String modelArn)` The Amazon Resource Name (ARN) of the machine learning model of the inference scheduler being described.
`void`	`setModelName(String modelName)` The name of the machine learning model of the inference scheduler being described.
`void`	`setRoleArn(String roleArn)` The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler being described.
`void`	`setServerSideKmsKeyId(String serverSideKmsKeyId)` Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.
`void`	`setStatus(String status)` Indicates the status of the inference scheduler.
`void`	`setUpdatedAt(Date updatedAt)` Specifies the time at which the inference scheduler was last updated, if it was.
`String`	`toString()` Returns a string representation of this object.
`DescribeInferenceSchedulerResult`	`withCreatedAt(Date createdAt)` Specifies the time at which the inference scheduler was created.
`DescribeInferenceSchedulerResult`	`withDataDelayOffsetInMinutes(Long dataDelayOffsetInMinutes)` A period of time (in minutes) by which inference on the data is delayed after the data starts.
`DescribeInferenceSchedulerResult`	`withDataInputConfiguration(InferenceInputConfiguration dataInputConfiguration)` Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
`DescribeInferenceSchedulerResult`	`withDataOutputConfiguration(InferenceOutputConfiguration dataOutputConfiguration)` Specifies information for the output results for the inference scheduler, including the output S3 location.
`DescribeInferenceSchedulerResult`	`withDataUploadFrequency(DataUploadFrequency dataUploadFrequency)` Specifies how often data is uploaded to the source S3 bucket for the input data.
`DescribeInferenceSchedulerResult`	`withDataUploadFrequency(String dataUploadFrequency)` Specifies how often data is uploaded to the source S3 bucket for the input data.
`DescribeInferenceSchedulerResult`	`withInferenceSchedulerArn(String inferenceSchedulerArn)` The Amazon Resource Name (ARN) of the inference scheduler being described.
`DescribeInferenceSchedulerResult`	`withInferenceSchedulerName(String inferenceSchedulerName)` The name of the inference scheduler being described.
`DescribeInferenceSchedulerResult`	`withLatestInferenceResult(LatestInferenceResult latestInferenceResult)` Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
`DescribeInferenceSchedulerResult`	`withLatestInferenceResult(String latestInferenceResult)` Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
`DescribeInferenceSchedulerResult`	`withModelArn(String modelArn)` The Amazon Resource Name (ARN) of the machine learning model of the inference scheduler being described.
`DescribeInferenceSchedulerResult`	`withModelName(String modelName)` The name of the machine learning model of the inference scheduler being described.
`DescribeInferenceSchedulerResult`	`withRoleArn(String roleArn)` The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler being described.
`DescribeInferenceSchedulerResult`	`withServerSideKmsKeyId(String serverSideKmsKeyId)` Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.
`DescribeInferenceSchedulerResult`	`withStatus(InferenceSchedulerStatus status)` Indicates the status of the inference scheduler.
`DescribeInferenceSchedulerResult`	`withStatus(String status)` Indicates the status of the inference scheduler.
`DescribeInferenceSchedulerResult`	`withUpdatedAt(Date updatedAt)` Specifies the time at which the inference scheduler was last updated, if it was.

Methods inherited from class com.amazonaws.AmazonWebServiceResult
getSdkHttpMetadata, getSdkResponseMetadata, setSdkHttpMetadata, setSdkResponseMetadata

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

- Constructor Detail
  - DescribeInferenceSchedulerResult
```
public DescribeInferenceSchedulerResult()
```
- Method Detail
  - setModelArn
```
public void setModelArn(String modelArn)
```
    The Amazon Resource Name (ARN) of the machine learning model of the inference scheduler being described.
    
    Parameters:
    
    modelArn - The Amazon Resource Name (ARN) of the machine learning model of the inference scheduler being described.
  - getModelArn
```
public String getModelArn()
```
    The Amazon Resource Name (ARN) of the machine learning model of the inference scheduler being described.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the machine learning model of the inference scheduler being described.
  - withModelArn
```
public DescribeInferenceSchedulerResult withModelArn(String modelArn)
```
    The Amazon Resource Name (ARN) of the machine learning model of the inference scheduler being described.
    
    Parameters:
    
    modelArn - The Amazon Resource Name (ARN) of the machine learning model of the inference scheduler being described.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelName
```
public void setModelName(String modelName)
```
    The name of the machine learning model of the inference scheduler being described.
    
    Parameters:
    
    modelName - The name of the machine learning model of the inference scheduler being described.
  - getModelName
```
public String getModelName()
```
    The name of the machine learning model of the inference scheduler being described.
    
    Returns:
    
    The name of the machine learning model of the inference scheduler being described.
  - withModelName
```
public DescribeInferenceSchedulerResult withModelName(String modelName)
```
    The name of the machine learning model of the inference scheduler being described.
    
    Parameters:
    
    modelName - The name of the machine learning model of the inference scheduler being described.
    
    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 described.
    
    Parameters:
    
    inferenceSchedulerName - The name of the inference scheduler being described.
  - getInferenceSchedulerName
```
public String getInferenceSchedulerName()
```
    The name of the inference scheduler being described.
    
    Returns:
    
    The name of the inference scheduler being described.
  - withInferenceSchedulerName
```
public DescribeInferenceSchedulerResult withInferenceSchedulerName(String inferenceSchedulerName)
```
    The name of the inference scheduler being described.
    
    Parameters:
    
    inferenceSchedulerName - The name of the inference scheduler being described.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setInferenceSchedulerArn
```
public void setInferenceSchedulerArn(String inferenceSchedulerArn)
```
    The Amazon Resource Name (ARN) of the inference scheduler being described.
    
    Parameters:
    
    inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler being described.
  - getInferenceSchedulerArn
```
public String getInferenceSchedulerArn()
```
    The Amazon Resource Name (ARN) of the inference scheduler being described.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the inference scheduler being described.
  - withInferenceSchedulerArn
```
public DescribeInferenceSchedulerResult withInferenceSchedulerArn(String inferenceSchedulerArn)
```
    The Amazon Resource Name (ARN) of the inference scheduler being described.
    
    Parameters:
    
    inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler being described.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setStatus
```
public void setStatus(String status)
```
    Indicates the status of the inference scheduler.
    
    Parameters:
    
    status - Indicates the status of the inference scheduler.
    
    See Also:
    
    InferenceSchedulerStatus
  - getStatus
```
public String getStatus()
```
    Indicates the status of the inference scheduler.
    
    Returns:
    
    Indicates the status of the inference scheduler.
    
    See Also:
    
    InferenceSchedulerStatus
  - withStatus
```
public DescribeInferenceSchedulerResult withStatus(String status)
```
    Indicates the status of the inference scheduler.
    
    Parameters:
    
    status - Indicates the status of the inference scheduler.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    InferenceSchedulerStatus
  - withStatus
```
public DescribeInferenceSchedulerResult withStatus(InferenceSchedulerStatus status)
```
    Indicates the status of the inference scheduler.
    
    Parameters:
    
    status - Indicates the status of the inference scheduler.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    InferenceSchedulerStatus
  - 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 DescribeInferenceSchedulerResult 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)
```
    Specifies how often data is uploaded to the source S3 bucket for the input data. This value 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 - Specifies how often data is uploaded to the source S3 bucket for the input data. This value 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()
```
    Specifies how often data is uploaded to the source S3 bucket for the input data. This value 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:
    
    Specifies how often data is uploaded to the source S3 bucket for the input data. This value 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 DescribeInferenceSchedulerResult withDataUploadFrequency(String dataUploadFrequency)
```
    Specifies how often data is uploaded to the source S3 bucket for the input data. This value 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 - Specifies how often data is uploaded to the source S3 bucket for the input data. This value 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 DescribeInferenceSchedulerResult withDataUploadFrequency(DataUploadFrequency dataUploadFrequency)
```
    Specifies how often data is uploaded to the source S3 bucket for the input data. This value 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 - Specifies how often data is uploaded to the source S3 bucket for the input data. This value 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
  - setCreatedAt
```
public void setCreatedAt(Date createdAt)
```
    Specifies the time at which the inference scheduler was created.
    
    Parameters:
    
    createdAt - Specifies the time at which the inference scheduler was created.
  - getCreatedAt
```
public Date getCreatedAt()
```
    Specifies the time at which the inference scheduler was created.
    
    Returns:
    
    Specifies the time at which the inference scheduler was created.
  - withCreatedAt
```
public DescribeInferenceSchedulerResult withCreatedAt(Date createdAt)
```
    Specifies the time at which the inference scheduler was created.
    
    Parameters:
    
    createdAt - Specifies the time at which the inference scheduler was created.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setUpdatedAt
```
public void setUpdatedAt(Date updatedAt)
```
    Specifies the time at which the inference scheduler was last updated, if it was.
    
    Parameters:
    
    updatedAt - Specifies the time at which the inference scheduler was last updated, if it was.
  - getUpdatedAt
```
public Date getUpdatedAt()
```
    Specifies the time at which the inference scheduler was last updated, if it was.
    
    Returns:
    
    Specifies the time at which the inference scheduler was last updated, if it was.
  - withUpdatedAt
```
public DescribeInferenceSchedulerResult withUpdatedAt(Date updatedAt)
```
    Specifies the time at which the inference scheduler was last updated, if it was.
    
    Parameters:
    
    updatedAt - Specifies the time at which the inference scheduler was last updated, if it was.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - 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 DescribeInferenceSchedulerResult 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 information for the output results for the inference scheduler, including the output S3 location.
    
    Parameters:
    
    dataOutputConfiguration - Specifies information for the output results for the inference scheduler, including the output S3 location.
  - getDataOutputConfiguration
```
public InferenceOutputConfiguration getDataOutputConfiguration()
```
    Specifies information for the output results for the inference scheduler, including the output S3 location.
    
    Returns:
    
    Specifies information for the output results for the inference scheduler, including the output S3 location.
  - withDataOutputConfiguration
```
public DescribeInferenceSchedulerResult withDataOutputConfiguration(InferenceOutputConfiguration dataOutputConfiguration)
```
    Specifies information for the output results for the inference scheduler, including the output S3 location.
    
    Parameters:
    
    dataOutputConfiguration - Specifies information for the output results for the inference scheduler, including the output S3 location.
    
    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 for the inference scheduler being described.
    
    Parameters:
    
    roleArn - The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler being described.
  - getRoleArn
```
public String getRoleArn()
```
    The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler being described.
    
    Returns:
    
    The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler being described.
  - withRoleArn
```
public DescribeInferenceSchedulerResult withRoleArn(String roleArn)
```
    The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler being described.
    
    Parameters:
    
    roleArn - The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler being described.
    
    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 DescribeInferenceSchedulerResult 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.
  - setLatestInferenceResult
```
public void setLatestInferenceResult(String latestInferenceResult)
```
    Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
    
    Parameters:
    
    latestInferenceResult - Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
    
    See Also:
    
    LatestInferenceResult
  - getLatestInferenceResult
```
public String getLatestInferenceResult()
```
    Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
    
    Returns:
    
    Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
    
    See Also:
    
    LatestInferenceResult
  - withLatestInferenceResult
```
public DescribeInferenceSchedulerResult withLatestInferenceResult(String latestInferenceResult)
```
    Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
    
    Parameters:
    
    latestInferenceResult - Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    LatestInferenceResult
  - withLatestInferenceResult
```
public DescribeInferenceSchedulerResult withLatestInferenceResult(LatestInferenceResult latestInferenceResult)
```
    Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
    
    Parameters:
    
    latestInferenceResult - Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    LatestInferenceResult
  - 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 DescribeInferenceSchedulerResult clone()
```
    Overrides:
    
    clone in class Object

AWS SDK for Java 1.x API Reference - 1.12.780

Class DescribeInferenceSchedulerResult

Constructor Summary

Method Summary

Methods inherited from class com.amazonaws.AmazonWebServiceResult

Methods inherited from class java.lang.Object

Constructor Detail

DescribeInferenceSchedulerResult

Method Detail

setModelArn

getModelArn

withModelArn

setModelName

getModelName

withModelName

setInferenceSchedulerName

getInferenceSchedulerName

withInferenceSchedulerName

setInferenceSchedulerArn

getInferenceSchedulerArn

withInferenceSchedulerArn

setStatus

getStatus

withStatus

withStatus

setDataDelayOffsetInMinutes

getDataDelayOffsetInMinutes

withDataDelayOffsetInMinutes

setDataUploadFrequency

getDataUploadFrequency

withDataUploadFrequency

withDataUploadFrequency

setCreatedAt

getCreatedAt

withCreatedAt

setUpdatedAt

getUpdatedAt

withUpdatedAt

setDataInputConfiguration

getDataInputConfiguration

withDataInputConfiguration

setDataOutputConfiguration

getDataOutputConfiguration

withDataOutputConfiguration

setRoleArn

getRoleArn

withRoleArn

setServerSideKmsKeyId

getServerSideKmsKeyId

withServerSideKmsKeyId

setLatestInferenceResult

getLatestInferenceResult

withLatestInferenceResult

withLatestInferenceResult

toString

equals

hashCode

clone