DescribeMLModelsRequest (AWS SDK for Java

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

See Also:: 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

All Methods Instance Methods Concrete 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`:
`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`:
`void`	`setFilterVariable(String filterVariable)` Use one of the following variables to filter a list of `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`:
`DescribeMLModelsRequest`	`withFilterVariable(String filterVariable)` Use one of the following variables to filter a list of `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 java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - DescribeMLModelsRequest
```
public DescribeMLModelsRequest()
```
- Method Detail
  - 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.
    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
  - 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.
    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
  - 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.
    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:
    
    Returns a reference to this 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.
    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.
    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:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    MLModelFilterVariable
  - 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.
    
    Parameters:
    
    eQ - The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.
  - getEQ
```
public String getEQ()
```
    The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.
    
    Returns:
    
    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.
    
    Parameters:
    
    eQ - The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - 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.
    
    Parameters:
    
    gT - The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.
  - getGT
```
public String getGT()
```
    The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.
    
    Returns:
    
    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.
    
    Parameters:
    
    gT - The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - 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.
    
    Parameters:
    
    lT - The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.
  - getLT
```
public String getLT()
```
    The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.
    
    Returns:
    
    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.
    
    Parameters:
    
    lT - The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - 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.
    
    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.
  - 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.
    
    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 .
  - 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.
    
    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:
    
    Returns a reference to this object so that method calls can be chained together.
  - 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.
    
    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.
  - 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.
    
    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.
  - 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.
    
    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:
    
    Returns a reference to this object so that method calls can be chained together.
  - 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.
    
    Parameters:
    
    nE - The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.
  - getNE
```
public String getNE()
```
    The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.
    
    Returns:
    
    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.
    
    Parameters:
    
    nE - The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - 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
    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
  - 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
    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
  - 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
    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:
    
    Returns a reference to this object so that method calls can be chained together.
  - 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.
    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
  - 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.
    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
  - 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.
    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:
    
    Returns a reference to this 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.
    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.
    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:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    SortOrder
  - 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.
  - getNextToken
```
public String getNextToken()
```
    The ID of the page in the paginated results.
    
    Returns:
    
    The ID of the page in the paginated results.
  - withNextToken
```
public DescribeMLModelsRequest withNextToken(String nextToken)
```
    The ID of the page in the paginated results.
    
    Parameters:
    
    nextToken - The ID of the page in the paginated results.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - 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.
    
    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.
  - 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.
    
    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.
  - 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.
    
    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:
    
    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; useful for testing and debugging.
    
    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 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()

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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

setFilterVariable

getFilterVariable

withFilterVariable

setFilterVariable

withFilterVariable

setEQ

getEQ

withEQ

setGT

getGT

withGT

setLT

getLT

withLT

setGE

getGE

withGE

setLE

getLE

withLE

setNE

getNE

withNE

setPrefix

getPrefix

withPrefix

setSortOrder

getSortOrder

withSortOrder

setSortOrder

withSortOrder

setNextToken

getNextToken

withNextToken

setLimit

getLimit

withLimit

toString

equals

hashCode

clone