DescribeMLModelsRequest (AWS SDK For Java for OSGi 1.10.4 API)

java.lang.Object
- com.amazonaws.AmazonWebServiceRequest
- - com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest

All Implemented Interfaces:

ReadLimitInfo, Serializable, Cloneable
```
public class DescribeMLModelsRequest
extends AmazonWebServiceRequest
implements Serializable, Cloneable
```
Container for the parameters to the DescribeMLModels operation.
Returns a list of MLModel that match the search criteria in the request.

See Also:
AmazonMachineLearning.describeMLModels(DescribeMLModelsRequest), Serialized Form

Field Summary
- Fields inherited from class com.amazonaws.AmazonWebServiceRequest
  NOOP

Constructor Summary

Constructors
Constructor and Description

DescribeMLModelsRequest()

Constructors
Constructor and Description
`DescribeMLModelsRequest()`

Method Summary

Methods
Modifier and Type	Method and Description
`DescribeMLModelsRequest`	`clone()` Creates a shallow clone of this request.
`boolean`	`equals(Object obj)`
`String`	`getEQ()` The equal to operator.
`String`	`getFilterVariable()` Use one of the following variables to filter a list of `MLModel`: `CreatedAt` - Sets the search criteria to `MLModel` creation date. `Status` - Sets the search criteria to `MLModel` status. `Name` - Sets the search criteria to the contents of `MLModel` `Name`. `IAMUser` - Sets the search criteria to the user account that invoked the `MLModel` creation. `TrainingDataSourceId` - Sets the search criteria to the `DataSource` used to train one or more `MLModel`. `RealtimeEndpointStatus` - Sets the search criteria to the `MLModel` real-time endpoint status. `MLModelType` - Sets the search criteria to `MLModel` type: binary, regression, or multi-class. `Algorithm` - Sets the search criteria to the algorithm that the `MLModel` uses. `TrainingDataURI` - Sets the search criteria to the data file(s) used in training a `MLModel`.
`String`	`getGE()` The greater than or equal to operator.
`String`	`getGT()` The greater than operator.
`String`	`getLE()` The less than or equal to operator.
`Integer`	`getLimit()` The number of pages of information to include in the result.
`String`	`getLT()` The less than operator.
`String`	`getNE()` The not equal to operator.
`String`	`getNextToken()` The ID of the page in the paginated results.
`String`	`getPrefix()` A string that is found at the beginning of a variable, such as `Name` or `Id`.
`String`	`getSortOrder()` A two-value parameter that determines the sequence of the resulting list of `MLModel`.
`int`	`hashCode()`
`void`	`setEQ(String eQ)` The equal to operator.
`void`	`setFilterVariable(MLModelFilterVariable filterVariable)` Use one of the following variables to filter a list of `MLModel`: `CreatedAt` - Sets the search criteria to `MLModel` creation date. `Status` - Sets the search criteria to `MLModel` status. `Name` - Sets the search criteria to the contents of `MLModel` `Name`. `IAMUser` - Sets the search criteria to the user account that invoked the `MLModel` creation. `TrainingDataSourceId` - Sets the search criteria to the `DataSource` used to train one or more `MLModel`. `RealtimeEndpointStatus` - Sets the search criteria to the `MLModel` real-time endpoint status. `MLModelType` - Sets the search criteria to `MLModel` type: binary, regression, or multi-class. `Algorithm` - Sets the search criteria to the algorithm that the `MLModel` uses. `TrainingDataURI` - Sets the search criteria to the data file(s) used in training a `MLModel`.
`void`	`setFilterVariable(String filterVariable)` Use one of the following variables to filter a list of `MLModel`: `CreatedAt` - Sets the search criteria to `MLModel` creation date. `Status` - Sets the search criteria to `MLModel` status. `Name` - Sets the search criteria to the contents of `MLModel` `Name`. `IAMUser` - Sets the search criteria to the user account that invoked the `MLModel` creation. `TrainingDataSourceId` - Sets the search criteria to the `DataSource` used to train one or more `MLModel`. `RealtimeEndpointStatus` - Sets the search criteria to the `MLModel` real-time endpoint status. `MLModelType` - Sets the search criteria to `MLModel` type: binary, regression, or multi-class. `Algorithm` - Sets the search criteria to the algorithm that the `MLModel` uses. `TrainingDataURI` - Sets the search criteria to the data file(s) used in training a `MLModel`.
`void`	`setGE(String gE)` The greater than or equal to operator.
`void`	`setGT(String gT)` The greater than operator.
`void`	`setLE(String lE)` The less than or equal to operator.
`void`	`setLimit(Integer limit)` The number of pages of information to include in the result.
`void`	`setLT(String lT)` The less than operator.
`void`	`setNE(String nE)` The not equal to operator.
`void`	`setNextToken(String nextToken)` The ID of the page in the paginated results.
`void`	`setPrefix(String prefix)` A string that is found at the beginning of a variable, such as `Name` or `Id`.
`void`	`setSortOrder(SortOrder sortOrder)` A two-value parameter that determines the sequence of the resulting list of `MLModel`.
`void`	`setSortOrder(String sortOrder)` A two-value parameter that determines the sequence of the resulting list of `MLModel`.
`String`	`toString()` Returns a string representation of this object; useful for testing and debugging.
`DescribeMLModelsRequest`	`withEQ(String eQ)` The equal to operator.
`DescribeMLModelsRequest`	`withFilterVariable(MLModelFilterVariable filterVariable)` Use one of the following variables to filter a list of `MLModel`: `CreatedAt` - Sets the search criteria to `MLModel` creation date. `Status` - Sets the search criteria to `MLModel` status. `Name` - Sets the search criteria to the contents of `MLModel` `Name`. `IAMUser` - Sets the search criteria to the user account that invoked the `MLModel` creation. `TrainingDataSourceId` - Sets the search criteria to the `DataSource` used to train one or more `MLModel`. `RealtimeEndpointStatus` - Sets the search criteria to the `MLModel` real-time endpoint status. `MLModelType` - Sets the search criteria to `MLModel` type: binary, regression, or multi-class. `Algorithm` - Sets the search criteria to the algorithm that the `MLModel` uses. `TrainingDataURI` - Sets the search criteria to the data file(s) used in training a `MLModel`.
`DescribeMLModelsRequest`	`withFilterVariable(String filterVariable)` Use one of the following variables to filter a list of `MLModel`: `CreatedAt` - Sets the search criteria to `MLModel` creation date. `Status` - Sets the search criteria to `MLModel` status. `Name` - Sets the search criteria to the contents of `MLModel` `Name`. `IAMUser` - Sets the search criteria to the user account that invoked the `MLModel` creation. `TrainingDataSourceId` - Sets the search criteria to the `DataSource` used to train one or more `MLModel`. `RealtimeEndpointStatus` - Sets the search criteria to the `MLModel` real-time endpoint status. `MLModelType` - Sets the search criteria to `MLModel` type: binary, regression, or multi-class. `Algorithm` - Sets the search criteria to the algorithm that the `MLModel` uses. `TrainingDataURI` - Sets the search criteria to the data file(s) used in training a `MLModel`.
`DescribeMLModelsRequest`	`withGE(String gE)` The greater than or equal to operator.
`DescribeMLModelsRequest`	`withGT(String gT)` The greater than operator.
`DescribeMLModelsRequest`	`withLE(String lE)` The less than or equal to operator.
`DescribeMLModelsRequest`	`withLimit(Integer limit)` The number of pages of information to include in the result.
`DescribeMLModelsRequest`	`withLT(String lT)` The less than operator.
`DescribeMLModelsRequest`	`withNE(String nE)` The not equal to operator.
`DescribeMLModelsRequest`	`withNextToken(String nextToken)` The ID of the page in the paginated results.
`DescribeMLModelsRequest`	`withPrefix(String prefix)` A string that is found at the beginning of a variable, such as `Name` or `Id`.
`DescribeMLModelsRequest`	`withSortOrder(SortOrder sortOrder)` A two-value parameter that determines the sequence of the resulting list of `MLModel`.
`DescribeMLModelsRequest`	`withSortOrder(String sortOrder)` A two-value parameter that determines the sequence of the resulting list of `MLModel`.

Methods inherited from class com.amazonaws.AmazonWebServiceRequest
copyBaseTo, getCustomRequestHeaders, getGeneralProgressListener, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestMetricCollector, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestMetricCollector, withGeneralProgressListener, withRequestMetricCollector

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

- Constructor Detail
  - DescribeMLModelsRequest
```
public DescribeMLModelsRequest()
```
- Method Detail
  - getFilterVariable
```
public String getFilterVariable()
```
    Use one of the following variables to filter a list of MLModel:
    - CreatedAt - Sets the search criteria to MLModel creation date.
    - Status - Sets the search criteria to MLModel status.
    - Name - Sets the search criteria to the contents of MLModel Name.
    - IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.
    - TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.
    - RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.
    - MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.
    - Algorithm - Sets the search criteria to the algorithm that the MLModel uses.
    - TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
    Constraints:
    Allowed Values: CreatedAt, LastUpdatedAt, Status, Name, IAMUser, TrainingDataSourceId, RealtimeEndpointStatus, MLModelType, Algorithm, TrainingDataURI
    Returns:
    Use one of the following variables to filter a list of MLModel:
    
    CreatedAt - Sets the search criteria to MLModel creation date.
    
    Status - Sets the search criteria to MLModel status.
    
    Name - Sets the search criteria to the contents of MLModel Name.
    
    IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.
    
    TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.
    
    RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.
    
    MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.
    
    Algorithm - Sets the search criteria to the algorithm that the MLModel uses.
    
    TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
    See Also:
    MLModelFilterVariable
  - setFilterVariable
```
public void setFilterVariable(String filterVariable)
```
    Use one of the following variables to filter a list of MLModel:
    - CreatedAt - Sets the search criteria to MLModel creation date.
    - Status - Sets the search criteria to MLModel status.
    - Name - Sets the search criteria to the contents of MLModel Name.
    - IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.
    - TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.
    - RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.
    - MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.
    - Algorithm - Sets the search criteria to the algorithm that the MLModel uses.
    - TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
    Constraints:
    Allowed Values: CreatedAt, LastUpdatedAt, Status, Name, IAMUser, TrainingDataSourceId, RealtimeEndpointStatus, MLModelType, Algorithm, TrainingDataURI
    Parameters:
    filterVariable - Use one of the following variables to filter a list of MLModel:
    
    CreatedAt - Sets the search criteria to MLModel creation date.
    
    Status - Sets the search criteria to MLModel status.
    
    Name - Sets the search criteria to the contents of MLModel Name.
    
    IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.
    
    TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.
    
    RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.
    
    MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.
    
    Algorithm - Sets the search criteria to the algorithm that the MLModel uses.
    
    TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
    See Also:
    MLModelFilterVariable
  - withFilterVariable
```
public DescribeMLModelsRequest withFilterVariable(String filterVariable)
```
    Use one of the following variables to filter a list of MLModel:
    - CreatedAt - Sets the search criteria to MLModel creation date.
    - Status - Sets the search criteria to MLModel status.
    - Name - Sets the search criteria to the contents of MLModel Name.
    - IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.
    - TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.
    - RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.
    - MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.
    - Algorithm - Sets the search criteria to the algorithm that the MLModel uses.
    - TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Allowed Values: CreatedAt, LastUpdatedAt, Status, Name, IAMUser, TrainingDataSourceId, RealtimeEndpointStatus, MLModelType, Algorithm, TrainingDataURI
    Parameters:
    filterVariable - Use one of the following variables to filter a list of MLModel:
    
    CreatedAt - Sets the search criteria to MLModel creation date.
    
    Status - Sets the search criteria to MLModel status.
    
    Name - Sets the search criteria to the contents of MLModel Name.
    
    IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.
    
    TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.
    
    RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.
    
    MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.
    
    Algorithm - Sets the search criteria to the algorithm that the MLModel uses.
    
    TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
    Returns:
    A reference to this updated object so that method calls can be chained together.
    See Also:
    MLModelFilterVariable
  - setFilterVariable
```
public void setFilterVariable(MLModelFilterVariable filterVariable)
```
    Use one of the following variables to filter a list of MLModel:
    - CreatedAt - Sets the search criteria to MLModel creation date.
    - Status - Sets the search criteria to MLModel status.
    - Name - Sets the search criteria to the contents of MLModel Name.
    - IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.
    - TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.
    - RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.
    - MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.
    - Algorithm - Sets the search criteria to the algorithm that the MLModel uses.
    - TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
    Constraints:
    Allowed Values: CreatedAt, LastUpdatedAt, Status, Name, IAMUser, TrainingDataSourceId, RealtimeEndpointStatus, MLModelType, Algorithm, TrainingDataURI
    Parameters:
    filterVariable - Use one of the following variables to filter a list of MLModel:
    
    CreatedAt - Sets the search criteria to MLModel creation date.
    
    Status - Sets the search criteria to MLModel status.
    
    Name - Sets the search criteria to the contents of MLModel Name.
    
    IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.
    
    TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.
    
    RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.
    
    MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.
    
    Algorithm - Sets the search criteria to the algorithm that the MLModel uses.
    
    TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
    See Also:
    MLModelFilterVariable
  - withFilterVariable
```
public DescribeMLModelsRequest withFilterVariable(MLModelFilterVariable filterVariable)
```
    Use one of the following variables to filter a list of MLModel:
    - CreatedAt - Sets the search criteria to MLModel creation date.
    - Status - Sets the search criteria to MLModel status.
    - Name - Sets the search criteria to the contents of MLModel Name.
    - IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.
    - TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.
    - RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.
    - MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.
    - Algorithm - Sets the search criteria to the algorithm that the MLModel uses.
    - TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Allowed Values: CreatedAt, LastUpdatedAt, Status, Name, IAMUser, TrainingDataSourceId, RealtimeEndpointStatus, MLModelType, Algorithm, TrainingDataURI
    Parameters:
    filterVariable - Use one of the following variables to filter a list of MLModel:
    
    CreatedAt - Sets the search criteria to MLModel creation date.
    
    Status - Sets the search criteria to MLModel status.
    
    Name - Sets the search criteria to the contents of MLModel Name.
    
    IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.
    
    TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.
    
    RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.
    
    MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.
    
    Algorithm - Sets the search criteria to the algorithm that the MLModel uses.
    
    TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
    Returns:
    A reference to this updated object so that method calls can be chained together.
    See Also:
    MLModelFilterVariable
  - getEQ
```
public String getEQ()
```
    The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Returns:
    The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.
  - setEQ
```
public void setEQ(String eQ)
```
    The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Parameters:
    eQ - The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.
  - withEQ
```
public DescribeMLModelsRequest withEQ(String eQ)
```
    The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Parameters:
    eQ - The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.
    
    Returns:
    A reference to this updated object so that method calls can be chained together.
  - getGT
```
public String getGT()
```
    The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Returns:
    The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.
  - setGT
```
public void setGT(String gT)
```
    The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Parameters:
    gT - The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.
  - withGT
```
public DescribeMLModelsRequest withGT(String gT)
```
    The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Parameters:
    gT - The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.
    
    Returns:
    A reference to this updated object so that method calls can be chained together.
  - getLT
```
public String getLT()
```
    The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Returns:
    The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.
  - setLT
```
public void setLT(String lT)
```
    The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Parameters:
    lT - The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.
  - withLT
```
public DescribeMLModelsRequest withLT(String lT)
```
    The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Parameters:
    lT - The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.
    
    Returns:
    A reference to this updated object so that method calls can be chained together.
  - getGE
```
public String getGE()
```
    The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Returns:
    The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.
  - setGE
```
public void setGE(String gE)
```
    The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Parameters:
    gE - The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.
  - withGE
```
public DescribeMLModelsRequest withGE(String gE)
```
    The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Parameters:
    gE - The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.
    
    Returns:
    A reference to this updated object so that method calls can be chained together.
  - getLE
```
public String getLE()
```
    The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Returns:
    The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.
  - setLE
```
public void setLE(String lE)
```
    The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Parameters:
    lE - The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.
  - withLE
```
public DescribeMLModelsRequest withLE(String lE)
```
    The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Parameters:
    lE - The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.
    
    Returns:
    A reference to this updated object so that method calls can be chained together.
  - getNE
```
public String getNE()
```
    The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Returns:
    The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.
  - setNE
```
public void setNE(String nE)
```
    The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Parameters:
    nE - The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.
  - withNE
```
public DescribeMLModelsRequest withNE(String nE)
```
    The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    
    Parameters:
    nE - The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.
    
    Returns:
    A reference to this updated object so that method calls can be chained together.
  - getPrefix
```
public String getPrefix()
```
    A string that is found at the beginning of a variable, such as Name or Id.
    For example, an MLModel could have the Name 2014-09-09-HolidayGiftMailer. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:
    - 2014-09
    - 2014-09-09
    - 2014-09-09-Holiday
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    Returns:
    A string that is found at the beginning of a variable, such as Name or Id.
    For example, an MLModel could have the Name 2014-09-09-HolidayGiftMailer. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:
    
    2014-09
    
    2014-09-09
    
    2014-09-09-Holiday
  - setPrefix
```
public void setPrefix(String prefix)
```
    A string that is found at the beginning of a variable, such as Name or Id.
    For example, an MLModel could have the Name 2014-09-09-HolidayGiftMailer. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:
    - 2014-09
    - 2014-09-09
    - 2014-09-09-Holiday
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    Parameters:
    prefix - A string that is found at the beginning of a variable, such as Name or Id.
    For example, an MLModel could have the Name 2014-09-09-HolidayGiftMailer. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:
    
    2014-09
    
    2014-09-09
    
    2014-09-09-Holiday
  - withPrefix
```
public DescribeMLModelsRequest withPrefix(String prefix)
```
    A string that is found at the beginning of a variable, such as Name or Id.
    For example, an MLModel could have the Name 2014-09-09-HolidayGiftMailer. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:
    - 2014-09
    - 2014-09-09
    - 2014-09-09-Holiday
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Length: 0 - 1024
    Pattern: .*\S.*|^$
    Parameters:
    prefix - A string that is found at the beginning of a variable, such as Name or Id.
    For example, an MLModel could have the Name 2014-09-09-HolidayGiftMailer. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:
    
    2014-09
    
    2014-09-09
    
    2014-09-09-Holiday
    Returns:
    A reference to this updated object so that method calls can be chained together.
  - getSortOrder
```
public String getSortOrder()
```
    A two-value parameter that determines the sequence of the resulting list of MLModel.
    - asc - Arranges the list in ascending order (A-Z, 0-9).
    - dsc - Arranges the list in descending order (Z-A, 9-0).
    Results are sorted by FilterVariable.
    Constraints:
    Allowed Values: asc, dsc
    Returns:
    A two-value parameter that determines the sequence of the resulting list of MLModel.
    
    asc - Arranges the list in ascending order (A-Z, 0-9).
    
    dsc - Arranges the list in descending order (Z-A, 9-0).
    
    Results are sorted by FilterVariable.
    See Also:
    SortOrder
  - setSortOrder
```
public void setSortOrder(String sortOrder)
```
    A two-value parameter that determines the sequence of the resulting list of MLModel.
    - asc - Arranges the list in ascending order (A-Z, 0-9).
    - dsc - Arranges the list in descending order (Z-A, 9-0).
    Results are sorted by FilterVariable.
    Constraints:
    Allowed Values: asc, dsc
    Parameters:
    sortOrder - A two-value parameter that determines the sequence of the resulting list of MLModel.
    
    asc - Arranges the list in ascending order (A-Z, 0-9).
    
    dsc - Arranges the list in descending order (Z-A, 9-0).
    
    Results are sorted by FilterVariable.
    See Also:
    SortOrder
  - withSortOrder
```
public DescribeMLModelsRequest withSortOrder(String sortOrder)
```
    A two-value parameter that determines the sequence of the resulting list of MLModel.
    - asc - Arranges the list in ascending order (A-Z, 0-9).
    - dsc - Arranges the list in descending order (Z-A, 9-0).
    Results are sorted by FilterVariable.
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Allowed Values: asc, dsc
    Parameters:
    sortOrder - A two-value parameter that determines the sequence of the resulting list of MLModel.
    
    asc - Arranges the list in ascending order (A-Z, 0-9).
    
    dsc - Arranges the list in descending order (Z-A, 9-0).
    
    Results are sorted by FilterVariable.
    Returns:
    A reference to this updated object so that method calls can be chained together.
    See Also:
    SortOrder
  - setSortOrder
```
public void setSortOrder(SortOrder sortOrder)
```
    A two-value parameter that determines the sequence of the resulting list of MLModel.
    - asc - Arranges the list in ascending order (A-Z, 0-9).
    - dsc - Arranges the list in descending order (Z-A, 9-0).
    Results are sorted by FilterVariable.
    Constraints:
    Allowed Values: asc, dsc
    Parameters:
    sortOrder - A two-value parameter that determines the sequence of the resulting list of MLModel.
    
    asc - Arranges the list in ascending order (A-Z, 0-9).
    
    dsc - Arranges the list in descending order (Z-A, 9-0).
    
    Results are sorted by FilterVariable.
    See Also:
    SortOrder
  - withSortOrder
```
public DescribeMLModelsRequest withSortOrder(SortOrder sortOrder)
```
    A two-value parameter that determines the sequence of the resulting list of MLModel.
    - asc - Arranges the list in ascending order (A-Z, 0-9).
    - dsc - Arranges the list in descending order (Z-A, 9-0).
    Results are sorted by FilterVariable.
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Allowed Values: asc, dsc
    Parameters:
    sortOrder - A two-value parameter that determines the sequence of the resulting list of MLModel.
    
    asc - Arranges the list in ascending order (A-Z, 0-9).
    
    dsc - Arranges the list in descending order (Z-A, 9-0).
    
    Results are sorted by FilterVariable.
    Returns:
    A reference to this updated object so that method calls can be chained together.
    See Also:
    SortOrder
  - getNextToken
```
public String getNextToken()
```
    The ID of the page in the paginated results.
    
    Returns:
    The ID of the page in the paginated results.
  - setNextToken
```
public void setNextToken(String nextToken)
```
    The ID of the page in the paginated results.
    
    Parameters:
    nextToken - The ID of the page in the paginated results.
  - withNextToken
```
public DescribeMLModelsRequest withNextToken(String nextToken)
```
    The ID of the page in the paginated results.
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    nextToken - The ID of the page in the paginated results.
    
    Returns:
    A reference to this updated object so that method calls can be chained together.
  - getLimit
```
public Integer getLimit()
```
    The number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.
    Constraints:
    Range: 1 - 100
    
    Returns:
    The number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.
  - setLimit
```
public void setLimit(Integer limit)
```
    The number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.
    Constraints:
    Range: 1 - 100
    
    Parameters:
    limit - The number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.
  - withLimit
```
public DescribeMLModelsRequest withLimit(Integer limit)
```
    The number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Range: 1 - 100
    
    Parameters:
    limit - The number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.
    
    Returns:
    A reference to this updated object so that method calls can be chained together.
  - toString
```
public String toString()
```
    Returns a string representation of this object; useful for testing and debugging.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    A string representation of this object.
    See Also:
    Object.toString()
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - clone
```
public DescribeMLModelsRequest clone()
```
    Description copied from class: AmazonWebServiceRequest
    
    Creates a shallow clone of this request. Explicitly does not clone the deep structure of the request object.
    
    Overrides:
    
    clone in class AmazonWebServiceRequest
    
    See Also:
    Object.clone()

Class DescribeMLModelsRequest

Field Summary

Fields inherited from class com.amazonaws.AmazonWebServiceRequest

Constructor Summary

Method Summary

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

Methods inherited from class java.lang.Object

Constructor Detail

DescribeMLModelsRequest

Method Detail

getFilterVariable

setFilterVariable

withFilterVariable

setFilterVariable

withFilterVariable

getEQ

setEQ

withEQ

getGT

setGT

withGT

getLT

setLT

withLT

getGE

setGE

withGE

getLE

setLE

withLE

getNE

setNE

withNE

getPrefix

setPrefix

withPrefix

getSortOrder

setSortOrder

withSortOrder

setSortOrder

withSortOrder

getNextToken

setNextToken

withNextToken

getLimit

setLimit

withLimit

toString

hashCode

equals

clone