ModelSummary (AWS Java SDK for Amazon Lookout for Equipment 1.12.544 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 ML 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 ML model.
`String`	`getModelArn()` The Amazon Resource Name (ARN) of the ML model.
`String`	`getModelName()` The name of the ML model.
`String`	`getStatus()` Indicates the status of the ML 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 ML model.
`void`	`setModelArn(String modelArn)` The Amazon Resource Name (ARN) of the ML model.
`void`	`setModelName(String modelName)` The name of the ML model.
`void`	`setStatus(String status)` Indicates the status of the ML 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 ML model.
`ModelSummary`	`withModelArn(String modelArn)` The Amazon Resource Name (ARN) of the ML model.
`ModelSummary`	`withModelName(String modelName)` The name of the ML model.
`ModelSummary`	`withStatus(ModelStatus status)` Indicates the status of the ML model.
`ModelSummary`	`withStatus(String status)` Indicates the status of the ML 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 ML model.
    
    Parameters:
    
    modelName - The name of the ML model.
  - getModelName
```
public String getModelName()
```
    The name of the ML model.
    
    Returns:
    
    The name of the ML model.
  - withModelName
```
public ModelSummary withModelName(String modelName)
```
    The name of the ML model.
    
    Parameters:
    
    modelName - The name of the ML 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 ML model.
    
    Parameters:
    
    modelArn - The Amazon Resource Name (ARN) of the ML model.
  - getModelArn
```
public String getModelArn()
```
    The Amazon Resource Name (ARN) of the ML model.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the ML model.
  - withModelArn
```
public ModelSummary withModelArn(String modelArn)
```
    The Amazon Resource Name (ARN) of the ML model.
    
    Parameters:
    
    modelArn - The Amazon Resource Name (ARN) of the ML 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 ML model.
    
    Parameters:
    
    datasetName - The name of the dataset being used for the ML model.
  - getDatasetName
```
public String getDatasetName()
```
    The name of the dataset being used for the ML model.
    
    Returns:
    
    The name of the dataset being used for the ML model.
  - withDatasetName
```
public ModelSummary withDatasetName(String datasetName)
```
    The name of the dataset being used for the ML model.
    
    Parameters:
    
    datasetName - The name of the dataset being used for the ML 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 ML model.
    
    Parameters:
    
    status - Indicates the status of the ML model.
    
    See Also:
    
    ModelStatus
  - getStatus
```
public String getStatus()
```
    Indicates the status of the ML model.
    
    Returns:
    
    Indicates the status of the ML model.
    
    See Also:
    
    ModelStatus
  - withStatus
```
public ModelSummary withStatus(String status)
```
    Indicates the status of the ML model.
    
    Parameters:
    
    status - Indicates the status of the ML 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 ML model.
    
    Parameters:
    
    status - Indicates the status of the ML 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.
  - 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

toString

equals

hashCode

clone

marshall