ModelSummary (AWS Java SDK for Amazon Lookout for Equipment 1.12.610 API)

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

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class ModelSummary
extends Object
implements Serializable, Cloneable, StructuredPojo
```
Provides information about the specified machine learning model, including dataset and model names and ARNs, as well as status.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

ModelSummary()

Constructors
Constructor and Description
`ModelSummary()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`ModelSummary`	`clone()`
`boolean`	`equals(Object obj)`
`Long`	`getActiveModelVersion()` The model version that the inference scheduler uses to run an inference execution.
`String`	`getActiveModelVersionArn()` The Amazon Resource Name (ARN) of the model version that is set as active.
`Date`	`getCreatedAt()` The time at which the specific model was created.
`String`	`getDatasetArn()` The Amazon Resource Name (ARN) of the dataset used to create the model.
`String`	`getDatasetName()` The name of the dataset being used for the machine learning model.
`Long`	`getLatestScheduledRetrainingModelVersion()` Indicates the most recent model version that was generated by retraining.
`Date`	`getLatestScheduledRetrainingStartTime()` Indicates the start time of the most recent scheduled retraining run.
`String`	`getLatestScheduledRetrainingStatus()` Indicates the status of the most recent scheduled retraining run.
`String`	`getModelArn()` The Amazon Resource Name (ARN) of the machine learning model.
`String`	`getModelName()` The name of the machine learning model.
`Date`	`getNextScheduledRetrainingStartDate()` Indicates the date that the next scheduled retraining run will start on.
`String`	`getRetrainingSchedulerStatus()` Indicates the status of the retraining scheduler.
`String`	`getStatus()` Indicates the status of the machine learning model.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)`
`void`	`setActiveModelVersion(Long activeModelVersion)` The model version that the inference scheduler uses to run an inference execution.
`void`	`setActiveModelVersionArn(String activeModelVersionArn)` The Amazon Resource Name (ARN) of the model version that is set as active.
`void`	`setCreatedAt(Date createdAt)` The time at which the specific model was created.
`void`	`setDatasetArn(String datasetArn)` The Amazon Resource Name (ARN) of the dataset used to create the model.
`void`	`setDatasetName(String datasetName)` The name of the dataset being used for the machine learning model.
`void`	`setLatestScheduledRetrainingModelVersion(Long latestScheduledRetrainingModelVersion)` Indicates the most recent model version that was generated by retraining.
`void`	`setLatestScheduledRetrainingStartTime(Date latestScheduledRetrainingStartTime)` Indicates the start time of the most recent scheduled retraining run.
`void`	`setLatestScheduledRetrainingStatus(String latestScheduledRetrainingStatus)` Indicates the status of the most recent scheduled retraining run.
`void`	`setModelArn(String modelArn)` The Amazon Resource Name (ARN) of the machine learning model.
`void`	`setModelName(String modelName)` The name of the machine learning model.
`void`	`setNextScheduledRetrainingStartDate(Date nextScheduledRetrainingStartDate)` Indicates the date that the next scheduled retraining run will start on.
`void`	`setRetrainingSchedulerStatus(String retrainingSchedulerStatus)` Indicates the status of the retraining scheduler.
`void`	`setStatus(String status)` Indicates the status of the machine learning model.
`String`	`toString()` Returns a string representation of this object.
`ModelSummary`	`withActiveModelVersion(Long activeModelVersion)` The model version that the inference scheduler uses to run an inference execution.
`ModelSummary`	`withActiveModelVersionArn(String activeModelVersionArn)` The Amazon Resource Name (ARN) of the model version that is set as active.
`ModelSummary`	`withCreatedAt(Date createdAt)` The time at which the specific model was created.
`ModelSummary`	`withDatasetArn(String datasetArn)` The Amazon Resource Name (ARN) of the dataset used to create the model.
`ModelSummary`	`withDatasetName(String datasetName)` The name of the dataset being used for the machine learning model.
`ModelSummary`	`withLatestScheduledRetrainingModelVersion(Long latestScheduledRetrainingModelVersion)` Indicates the most recent model version that was generated by retraining.
`ModelSummary`	`withLatestScheduledRetrainingStartTime(Date latestScheduledRetrainingStartTime)` Indicates the start time of the most recent scheduled retraining run.
`ModelSummary`	`withLatestScheduledRetrainingStatus(ModelVersionStatus latestScheduledRetrainingStatus)` Indicates the status of the most recent scheduled retraining run.
`ModelSummary`	`withLatestScheduledRetrainingStatus(String latestScheduledRetrainingStatus)` Indicates the status of the most recent scheduled retraining run.
`ModelSummary`	`withModelArn(String modelArn)` The Amazon Resource Name (ARN) of the machine learning model.
`ModelSummary`	`withModelName(String modelName)` The name of the machine learning model.
`ModelSummary`	`withNextScheduledRetrainingStartDate(Date nextScheduledRetrainingStartDate)` Indicates the date that the next scheduled retraining run will start on.
`ModelSummary`	`withRetrainingSchedulerStatus(RetrainingSchedulerStatus retrainingSchedulerStatus)` Indicates the status of the retraining scheduler.
`ModelSummary`	`withRetrainingSchedulerStatus(String retrainingSchedulerStatus)` Indicates the status of the retraining scheduler.
`ModelSummary`	`withStatus(ModelStatus status)` Indicates the status of the machine learning model.
`ModelSummary`	`withStatus(String status)` Indicates the status of the machine learning model.

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

- Constructor Detail
  - ModelSummary
```
public ModelSummary()
```
- Method Detail
  - setModelName
```
public void setModelName(String modelName)
```
    The name of the machine learning model.
    
    Parameters:
    
    modelName - The name of the machine learning model.
  - getModelName
```
public String getModelName()
```
    The name of the machine learning model.
    
    Returns:
    
    The name of the machine learning model.
  - withModelName
```
public ModelSummary withModelName(String modelName)
```
    The name of the machine learning model.
    
    Parameters:
    
    modelName - The name of the machine learning model.
    
    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.
    
    Parameters:
    
    modelArn - The Amazon Resource Name (ARN) of the machine learning model.
  - getModelArn
```
public String getModelArn()
```
    The Amazon Resource Name (ARN) of the machine learning model.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the machine learning model.
  - withModelArn
```
public ModelSummary withModelArn(String modelArn)
```
    The Amazon Resource Name (ARN) of the machine learning model.
    
    Parameters:
    
    modelArn - The Amazon Resource Name (ARN) of the machine learning 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 being used for the machine learning model.
    
    Parameters:
    
    datasetName - The name of the dataset being used for the machine learning model.
  - getDatasetName
```
public String getDatasetName()
```
    The name of the dataset being used for the machine learning model.
    
    Returns:
    
    The name of the dataset being used for the machine learning model.
  - withDatasetName
```
public ModelSummary withDatasetName(String datasetName)
```
    The name of the dataset being used for the machine learning model.
    
    Parameters:
    
    datasetName - The name of the dataset being used for the machine learning model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDatasetArn
```
public void setDatasetArn(String datasetArn)
```
    The Amazon Resource Name (ARN) of the dataset used to create the model.
    
    Parameters:
    
    datasetArn - The Amazon Resource Name (ARN) of the dataset used to create the model.
  - getDatasetArn
```
public String getDatasetArn()
```
    The Amazon Resource Name (ARN) of the dataset used to create the model.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the dataset used to create the model.
  - withDatasetArn
```
public ModelSummary withDatasetArn(String datasetArn)
```
    The Amazon Resource Name (ARN) of the dataset used to create the model.
    
    Parameters:
    
    datasetArn - The Amazon Resource Name (ARN) of the dataset used to create the model.
    
    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 machine learning model.
    
    Parameters:
    
    status - Indicates the status of the machine learning model.
    
    See Also:
    
    ModelStatus
  - getStatus
```
public String getStatus()
```
    Indicates the status of the machine learning model.
    
    Returns:
    
    Indicates the status of the machine learning model.
    
    See Also:
    
    ModelStatus
  - withStatus
```
public ModelSummary withStatus(String status)
```
    Indicates the status of the machine learning model.
    
    Parameters:
    
    status - Indicates the status of the machine learning model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ModelStatus
  - withStatus
```
public ModelSummary withStatus(ModelStatus status)
```
    Indicates the status of the machine learning model.
    
    Parameters:
    
    status - Indicates the status of the machine learning model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ModelStatus
  - setCreatedAt
```
public void setCreatedAt(Date createdAt)
```
    The time at which the specific model was created.
    
    Parameters:
    
    createdAt - The time at which the specific model was created.
  - getCreatedAt
```
public Date getCreatedAt()
```
    The time at which the specific model was created.
    
    Returns:
    
    The time at which the specific model was created.
  - withCreatedAt
```
public ModelSummary withCreatedAt(Date createdAt)
```
    The time at which the specific model was created.
    
    Parameters:
    
    createdAt - The time at which the specific model was created.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setActiveModelVersion
```
public void setActiveModelVersion(Long activeModelVersion)
```
    The model version that the inference scheduler uses to run an inference execution.
    
    Parameters:
    
    activeModelVersion - The model version that the inference scheduler uses to run an inference execution.
  - getActiveModelVersion
```
public Long getActiveModelVersion()
```
    The model version that the inference scheduler uses to run an inference execution.
    
    Returns:
    
    The model version that the inference scheduler uses to run an inference execution.
  - withActiveModelVersion
```
public ModelSummary withActiveModelVersion(Long activeModelVersion)
```
    The model version that the inference scheduler uses to run an inference execution.
    
    Parameters:
    
    activeModelVersion - The model version that the inference scheduler uses to run an inference execution.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setActiveModelVersionArn
```
public void setActiveModelVersionArn(String activeModelVersionArn)
```
    The Amazon Resource Name (ARN) of the model version that is set as active. The active model version is the model version that the inference scheduler uses to run an inference execution.
    
    Parameters:
    
    activeModelVersionArn - The Amazon Resource Name (ARN) of the model version that is set as active. The active model version is the model version that the inference scheduler uses to run an inference execution.
  - getActiveModelVersionArn
```
public String getActiveModelVersionArn()
```
    The Amazon Resource Name (ARN) of the model version that is set as active. The active model version is the model version that the inference scheduler uses to run an inference execution.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the model version that is set as active. The active model version is the model version that the inference scheduler uses to run an inference execution.
  - withActiveModelVersionArn
```
public ModelSummary withActiveModelVersionArn(String activeModelVersionArn)
```
    The Amazon Resource Name (ARN) of the model version that is set as active. The active model version is the model version that the inference scheduler uses to run an inference execution.
    
    Parameters:
    
    activeModelVersionArn - The Amazon Resource Name (ARN) of the model version that is set as active. The active model version is the model version that the inference scheduler uses to run an inference execution.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLatestScheduledRetrainingStatus
```
public void setLatestScheduledRetrainingStatus(String latestScheduledRetrainingStatus)
```
    Indicates the status of the most recent scheduled retraining run.
    
    Parameters:
    
    latestScheduledRetrainingStatus - Indicates the status of the most recent scheduled retraining run.
    
    See Also:
    
    ModelVersionStatus
  - getLatestScheduledRetrainingStatus
```
public String getLatestScheduledRetrainingStatus()
```
    Indicates the status of the most recent scheduled retraining run.
    
    Returns:
    
    Indicates the status of the most recent scheduled retraining run.
    
    See Also:
    
    ModelVersionStatus
  - withLatestScheduledRetrainingStatus
```
public ModelSummary withLatestScheduledRetrainingStatus(String latestScheduledRetrainingStatus)
```
    Indicates the status of the most recent scheduled retraining run.
    
    Parameters:
    
    latestScheduledRetrainingStatus - Indicates the status of the most recent scheduled retraining run.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ModelVersionStatus
  - withLatestScheduledRetrainingStatus
```
public ModelSummary withLatestScheduledRetrainingStatus(ModelVersionStatus latestScheduledRetrainingStatus)
```
    Indicates the status of the most recent scheduled retraining run.
    
    Parameters:
    
    latestScheduledRetrainingStatus - Indicates the status of the most recent scheduled retraining run.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ModelVersionStatus
  - setLatestScheduledRetrainingModelVersion
```
public void setLatestScheduledRetrainingModelVersion(Long latestScheduledRetrainingModelVersion)
```
    Indicates the most recent model version that was generated by retraining.
    
    Parameters:
    
    latestScheduledRetrainingModelVersion - Indicates the most recent model version that was generated by retraining.
  - getLatestScheduledRetrainingModelVersion
```
public Long getLatestScheduledRetrainingModelVersion()
```
    Indicates the most recent model version that was generated by retraining.
    
    Returns:
    
    Indicates the most recent model version that was generated by retraining.
  - withLatestScheduledRetrainingModelVersion
```
public ModelSummary withLatestScheduledRetrainingModelVersion(Long latestScheduledRetrainingModelVersion)
```
    Indicates the most recent model version that was generated by retraining.
    
    Parameters:
    
    latestScheduledRetrainingModelVersion - Indicates the most recent model version that was generated by retraining.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLatestScheduledRetrainingStartTime
```
public void setLatestScheduledRetrainingStartTime(Date latestScheduledRetrainingStartTime)
```
    Indicates the start time of the most recent scheduled retraining run.
    
    Parameters:
    
    latestScheduledRetrainingStartTime - Indicates the start time of the most recent scheduled retraining run.
  - getLatestScheduledRetrainingStartTime
```
public Date getLatestScheduledRetrainingStartTime()
```
    Indicates the start time of the most recent scheduled retraining run.
    
    Returns:
    
    Indicates the start time of the most recent scheduled retraining run.
  - withLatestScheduledRetrainingStartTime
```
public ModelSummary withLatestScheduledRetrainingStartTime(Date latestScheduledRetrainingStartTime)
```
    Indicates the start time of the most recent scheduled retraining run.
    
    Parameters:
    
    latestScheduledRetrainingStartTime - Indicates the start time of the most recent scheduled retraining run.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setNextScheduledRetrainingStartDate
```
public void setNextScheduledRetrainingStartDate(Date nextScheduledRetrainingStartDate)
```
    Indicates the date that the next scheduled retraining run will start on. Lookout for Equipment truncates the time you provide to the nearest UTC day.
    
    Parameters:
    
    nextScheduledRetrainingStartDate - Indicates the date that the next scheduled retraining run will start on. Lookout for Equipment truncates the time you provide to the nearest UTC day.
  - getNextScheduledRetrainingStartDate
```
public Date getNextScheduledRetrainingStartDate()
```
    Indicates the date that the next scheduled retraining run will start on. Lookout for Equipment truncates the time you provide to the nearest UTC day.
    
    Returns:
    
    Indicates the date that the next scheduled retraining run will start on. Lookout for Equipment truncates the time you provide to the nearest UTC day.
  - withNextScheduledRetrainingStartDate
```
public ModelSummary withNextScheduledRetrainingStartDate(Date nextScheduledRetrainingStartDate)
```
    Indicates the date that the next scheduled retraining run will start on. Lookout for Equipment truncates the time you provide to the nearest UTC day.
    
    Parameters:
    
    nextScheduledRetrainingStartDate - Indicates the date that the next scheduled retraining run will start on. Lookout for Equipment truncates the time you provide to the nearest UTC day.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setRetrainingSchedulerStatus
```
public void setRetrainingSchedulerStatus(String retrainingSchedulerStatus)
```
    Indicates the status of the retraining scheduler.
    
    Parameters:
    
    retrainingSchedulerStatus - Indicates the status of the retraining scheduler.
    
    See Also:
    
    RetrainingSchedulerStatus
  - getRetrainingSchedulerStatus
```
public String getRetrainingSchedulerStatus()
```
    Indicates the status of the retraining scheduler.
    
    Returns:
    
    Indicates the status of the retraining scheduler.
    
    See Also:
    
    RetrainingSchedulerStatus
  - withRetrainingSchedulerStatus
```
public ModelSummary withRetrainingSchedulerStatus(String retrainingSchedulerStatus)
```
    Indicates the status of the retraining scheduler.
    
    Parameters:
    
    retrainingSchedulerStatus - Indicates the status of the retraining scheduler.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    RetrainingSchedulerStatus
  - withRetrainingSchedulerStatus
```
public ModelSummary withRetrainingSchedulerStatus(RetrainingSchedulerStatus retrainingSchedulerStatus)
```
    Indicates the status of the retraining scheduler.
    
    Parameters:
    
    retrainingSchedulerStatus - Indicates the status of the retraining scheduler.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    RetrainingSchedulerStatus
  - 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 ModelSummary clone()
```
    Overrides:
    
    clone in class Object
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Specified by:
    
    marshall in interface StructuredPojo

Class ModelSummary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

ModelSummary

Method Detail

setModelName

getModelName

withModelName

setModelArn

getModelArn

withModelArn

setDatasetName

getDatasetName

withDatasetName

setDatasetArn

getDatasetArn

withDatasetArn

setStatus

getStatus

withStatus

withStatus

setCreatedAt

getCreatedAt

withCreatedAt

setActiveModelVersion

getActiveModelVersion

withActiveModelVersion

setActiveModelVersionArn

getActiveModelVersionArn

withActiveModelVersionArn

setLatestScheduledRetrainingStatus

getLatestScheduledRetrainingStatus

withLatestScheduledRetrainingStatus

withLatestScheduledRetrainingStatus

setLatestScheduledRetrainingModelVersion

getLatestScheduledRetrainingModelVersion

withLatestScheduledRetrainingModelVersion

setLatestScheduledRetrainingStartTime

getLatestScheduledRetrainingStartTime

withLatestScheduledRetrainingStartTime

setNextScheduledRetrainingStartDate

getNextScheduledRetrainingStartDate

withNextScheduledRetrainingStartDate

setRetrainingSchedulerStatus

getRetrainingSchedulerStatus

withRetrainingSchedulerStatus

withRetrainingSchedulerStatus

toString

equals

hashCode

clone

marshall