InferenceSchedulerSummary (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.lookoutequipment.model.InferenceSchedulerSummary

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class InferenceSchedulerSummary
extends Object
implements Serializable, Cloneable, StructuredPojo
```
Contains information about the specific inference scheduler, including data delay offset, model name and ARN, status, and so on.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

InferenceSchedulerSummary()

Constructors
Constructor and Description
`InferenceSchedulerSummary()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`InferenceSchedulerSummary`	`clone()`
`boolean`	`equals(Object obj)`
`Long`	`getDataDelayOffsetInMinutes()` A period of time (in minutes) by which inference on the data is delayed after the data starts.
`String`	`getDataUploadFrequency()` 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.
`String`	`getInferenceSchedulerName()` The name of the inference scheduler.
`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 used by the inference scheduler.
`String`	`getModelName()` The name of the machine learning model used for the inference scheduler.
`String`	`getStatus()` Indicates the status of the inference scheduler.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setDataDelayOffsetInMinutes(Long dataDelayOffsetInMinutes)` A period of time (in minutes) by which inference on the data is delayed after the data starts.
`void`	`setDataUploadFrequency(String dataUploadFrequency)` 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.
`void`	`setInferenceSchedulerName(String inferenceSchedulerName)` The name of the inference scheduler.
`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 used by the inference scheduler.
`void`	`setModelName(String modelName)` The name of the machine learning model used for the inference scheduler.
`void`	`setStatus(String status)` Indicates the status of the inference scheduler.
`String`	`toString()` Returns a string representation of this object.
`InferenceSchedulerSummary`	`withDataDelayOffsetInMinutes(Long dataDelayOffsetInMinutes)` A period of time (in minutes) by which inference on the data is delayed after the data starts.
`InferenceSchedulerSummary`	`withDataUploadFrequency(DataUploadFrequency dataUploadFrequency)` How often data is uploaded to the source S3 bucket for the input data.
`InferenceSchedulerSummary`	`withDataUploadFrequency(String dataUploadFrequency)` How often data is uploaded to the source S3 bucket for the input data.
`InferenceSchedulerSummary`	`withInferenceSchedulerArn(String inferenceSchedulerArn)` The Amazon Resource Name (ARN) of the inference scheduler.
`InferenceSchedulerSummary`	`withInferenceSchedulerName(String inferenceSchedulerName)` The name of the inference scheduler.
`InferenceSchedulerSummary`	`withLatestInferenceResult(LatestInferenceResult latestInferenceResult)` Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
`InferenceSchedulerSummary`	`withLatestInferenceResult(String latestInferenceResult)` Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
`InferenceSchedulerSummary`	`withModelArn(String modelArn)` The Amazon Resource Name (ARN) of the machine learning model used by the inference scheduler.
`InferenceSchedulerSummary`	`withModelName(String modelName)` The name of the machine learning model used for the inference scheduler.
`InferenceSchedulerSummary`	`withStatus(InferenceSchedulerStatus status)` Indicates the status of the inference scheduler.
`InferenceSchedulerSummary`	`withStatus(String status)` Indicates the status of the inference scheduler.

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

- Constructor Detail
  - InferenceSchedulerSummary
```
public InferenceSchedulerSummary()
```
- Method Detail
  - setModelName
```
public void setModelName(String modelName)
```
    The name of the machine learning model used for the inference scheduler.
    
    Parameters:
    
    modelName - The name of the machine learning model used for the inference scheduler.
  - getModelName
```
public String getModelName()
```
    The name of the machine learning model used for the inference scheduler.
    
    Returns:
    
    The name of the machine learning model used for the inference scheduler.
  - withModelName
```
public InferenceSchedulerSummary withModelName(String modelName)
```
    The name of the machine learning model used for the inference scheduler.
    
    Parameters:
    
    modelName - The name of the machine learning model used for the inference scheduler.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelArn
```
public void setModelArn(String modelArn)
```
    The Amazon Resource Name (ARN) of the machine learning model used by the inference scheduler.
    
    Parameters:
    
    modelArn - The Amazon Resource Name (ARN) of the machine learning model used by the inference scheduler.
  - getModelArn
```
public String getModelArn()
```
    The Amazon Resource Name (ARN) of the machine learning model used by the inference scheduler.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the machine learning model used by the inference scheduler.
  - withModelArn
```
public InferenceSchedulerSummary withModelArn(String modelArn)
```
    The Amazon Resource Name (ARN) of the machine learning model used by the inference scheduler.
    
    Parameters:
    
    modelArn - The Amazon Resource Name (ARN) of the machine learning model used by 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.
    
    Parameters:
    
    inferenceSchedulerName - The name of the inference scheduler.
  - getInferenceSchedulerName
```
public String getInferenceSchedulerName()
```
    The name of the inference scheduler.
    
    Returns:
    
    The name of the inference scheduler.
  - withInferenceSchedulerName
```
public InferenceSchedulerSummary withInferenceSchedulerName(String inferenceSchedulerName)
```
    The name of the inference scheduler.
    
    Parameters:
    
    inferenceSchedulerName - The name of the inference scheduler.
    
    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.
    
    Parameters:
    
    inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler.
  - getInferenceSchedulerArn
```
public String getInferenceSchedulerArn()
```
    The Amazon Resource Name (ARN) of the inference scheduler.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the inference scheduler.
  - withInferenceSchedulerArn
```
public InferenceSchedulerSummary withInferenceSchedulerArn(String inferenceSchedulerArn)
```
    The Amazon Resource Name (ARN) of the inference scheduler.
    
    Parameters:
    
    inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler.
    
    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 InferenceSchedulerSummary 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 InferenceSchedulerSummary 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 an offset delay time of five minutes was selected, 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 an offset delay time of five minutes was selected, 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 an offset delay time of five minutes was selected, 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 an offset delay time of five minutes was selected, 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 InferenceSchedulerSummary withDataDelayOffsetInMinutes(Long dataDelayOffsetInMinutes)
```
    A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if an offset delay time of five minutes was selected, 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 an offset delay time of five minutes was selected, 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. 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 - 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()
```
    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:
    
    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 InferenceSchedulerSummary withDataUploadFrequency(String dataUploadFrequency)
```
    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 - 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 InferenceSchedulerSummary withDataUploadFrequency(DataUploadFrequency dataUploadFrequency)
```
    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 - 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
  - 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 InferenceSchedulerSummary 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 InferenceSchedulerSummary 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 InferenceSchedulerSummary clone()
```
    Overrides:
    
    clone in class Object
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Description copied from interface: StructuredPojo
    
    Marshalls this structured data using the given ProtocolMarshaller.
    
    Specified by:
    
    marshall in interface StructuredPojo
    
    Parameters:
    
    protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.

AWS SDK for Java 1.x API Reference - 1.12.772

Class InferenceSchedulerSummary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

InferenceSchedulerSummary

Method Detail

setModelName

getModelName

withModelName

setModelArn

getModelArn

withModelArn

setInferenceSchedulerName

getInferenceSchedulerName

withInferenceSchedulerName

setInferenceSchedulerArn

getInferenceSchedulerArn

withInferenceSchedulerArn

setStatus

getStatus

withStatus

withStatus

setDataDelayOffsetInMinutes

getDataDelayOffsetInMinutes

withDataDelayOffsetInMinutes

setDataUploadFrequency

getDataUploadFrequency

withDataUploadFrequency

withDataUploadFrequency

setLatestInferenceResult

getLatestInferenceResult

withLatestInferenceResult

withLatestInferenceResult

toString

equals

hashCode

clone

marshall