Class DescribeMLModelsRequest
- java.lang.Object
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- com.amazonaws.AmazonWebServiceRequest
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- com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest
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- All Implemented Interfaces:
ReadLimitInfo
,Serializable
,Cloneable
public class DescribeMLModelsRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
- See Also:
- Serialized Form
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Field Summary
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Fields inherited from class com.amazonaws.AmazonWebServiceRequest
NOOP
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Constructor Summary
Constructors Constructor Description DescribeMLModelsRequest()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method 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 ofMLModel
: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 asName
orId
.String
getSortOrder()
A two-value parameter that determines the sequence of the resulting list ofMLModel
.int
hashCode()
void
setEQ(String eQ)
The equal to operator.void
setFilterVariable(MLModelFilterVariable filterVariable)
Use one of the following variables to filter a list ofMLModel
:void
setFilterVariable(String filterVariable)
Use one of the following variables to filter a list ofMLModel
: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 asName
orId
.void
setSortOrder(SortOrder sortOrder)
A two-value parameter that determines the sequence of the resulting list ofMLModel
.void
setSortOrder(String sortOrder)
A two-value parameter that determines the sequence of the resulting list ofMLModel
.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 ofMLModel
:DescribeMLModelsRequest
withFilterVariable(String filterVariable)
Use one of the following variables to filter a list ofMLModel
: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 asName
orId
.DescribeMLModelsRequest
withSortOrder(SortOrder sortOrder)
A two-value parameter that determines the sequence of the resulting list ofMLModel
.DescribeMLModelsRequest
withSortOrder(String sortOrder)
A two-value parameter that determines the sequence of the resulting list ofMLModel
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Methods inherited from class com.amazonaws.AmazonWebServiceRequest
copyBaseTo, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout
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Method Detail
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setFilterVariable
public void setFilterVariable(String filterVariable)
Use one of the following variables to filter a list of
MLModel
:-
CreatedAt
- Sets the search criteria toMLModel
creation date. -
Status
- Sets the search criteria toMLModel
status. -
Name
- Sets the search criteria to the contents ofMLModel
Name
. -
IAMUser
- Sets the search criteria to the user account that invoked theMLModel
creation. -
TrainingDataSourceId
- Sets the search criteria to theDataSource
used to train one or moreMLModel
. -
RealtimeEndpointStatus
- Sets the search criteria to theMLModel
real-time endpoint status. -
MLModelType
- Sets the search criteria toMLModel
type: binary, regression, or multi-class. -
Algorithm
- Sets the search criteria to the algorithm that theMLModel
uses. -
TrainingDataURI
- Sets the search criteria to the data file(s) used in training aMLModel
. 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 ofMLModel
:-
CreatedAt
- Sets the search criteria toMLModel
creation date. -
Status
- Sets the search criteria toMLModel
status. -
Name
- Sets the search criteria to the contents ofMLModel
Name
. -
IAMUser
- Sets the search criteria to the user account that invoked theMLModel
creation. -
TrainingDataSourceId
- Sets the search criteria to theDataSource
used to train one or moreMLModel
. -
RealtimeEndpointStatus
- Sets the search criteria to theMLModel
real-time endpoint status. -
MLModelType
- Sets the search criteria toMLModel
type: binary, regression, or multi-class. -
Algorithm
- Sets the search criteria to the algorithm that theMLModel
uses. -
TrainingDataURI
- Sets the search criteria to the data file(s) used in training aMLModel
. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
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- See Also:
MLModelFilterVariable
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getFilterVariable
public String getFilterVariable()
Use one of the following variables to filter a list of
MLModel
:-
CreatedAt
- Sets the search criteria toMLModel
creation date. -
Status
- Sets the search criteria toMLModel
status. -
Name
- Sets the search criteria to the contents ofMLModel
Name
. -
IAMUser
- Sets the search criteria to the user account that invoked theMLModel
creation. -
TrainingDataSourceId
- Sets the search criteria to theDataSource
used to train one or moreMLModel
. -
RealtimeEndpointStatus
- Sets the search criteria to theMLModel
real-time endpoint status. -
MLModelType
- Sets the search criteria toMLModel
type: binary, regression, or multi-class. -
Algorithm
- Sets the search criteria to the algorithm that theMLModel
uses. -
TrainingDataURI
- Sets the search criteria to the data file(s) used in training aMLModel
. 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 toMLModel
creation date. -
Status
- Sets the search criteria toMLModel
status. -
Name
- Sets the search criteria to the contents ofMLModel
Name
. -
IAMUser
- Sets the search criteria to the user account that invoked theMLModel
creation. -
TrainingDataSourceId
- Sets the search criteria to theDataSource
used to train one or moreMLModel
. -
RealtimeEndpointStatus
- Sets the search criteria to theMLModel
real-time endpoint status. -
MLModelType
- Sets the search criteria toMLModel
type: binary, regression, or multi-class. -
Algorithm
- Sets the search criteria to the algorithm that theMLModel
uses. -
TrainingDataURI
- Sets the search criteria to the data file(s) used in training aMLModel
. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
-
- See Also:
MLModelFilterVariable
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withFilterVariable
public DescribeMLModelsRequest withFilterVariable(String filterVariable)
Use one of the following variables to filter a list of
MLModel
:-
CreatedAt
- Sets the search criteria toMLModel
creation date. -
Status
- Sets the search criteria toMLModel
status. -
Name
- Sets the search criteria to the contents ofMLModel
Name
. -
IAMUser
- Sets the search criteria to the user account that invoked theMLModel
creation. -
TrainingDataSourceId
- Sets the search criteria to theDataSource
used to train one or moreMLModel
. -
RealtimeEndpointStatus
- Sets the search criteria to theMLModel
real-time endpoint status. -
MLModelType
- Sets the search criteria toMLModel
type: binary, regression, or multi-class. -
Algorithm
- Sets the search criteria to the algorithm that theMLModel
uses. -
TrainingDataURI
- Sets the search criteria to the data file(s) used in training aMLModel
. 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 ofMLModel
:-
CreatedAt
- Sets the search criteria toMLModel
creation date. -
Status
- Sets the search criteria toMLModel
status. -
Name
- Sets the search criteria to the contents ofMLModel
Name
. -
IAMUser
- Sets the search criteria to the user account that invoked theMLModel
creation. -
TrainingDataSourceId
- Sets the search criteria to theDataSource
used to train one or moreMLModel
. -
RealtimeEndpointStatus
- Sets the search criteria to theMLModel
real-time endpoint status. -
MLModelType
- Sets the search criteria toMLModel
type: binary, regression, or multi-class. -
Algorithm
- Sets the search criteria to the algorithm that theMLModel
uses. -
TrainingDataURI
- Sets the search criteria to the data file(s) used in training aMLModel
. 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
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setFilterVariable
public void setFilterVariable(MLModelFilterVariable filterVariable)
Use one of the following variables to filter a list of
MLModel
:-
CreatedAt
- Sets the search criteria toMLModel
creation date. -
Status
- Sets the search criteria toMLModel
status. -
Name
- Sets the search criteria to the contents ofMLModel
Name
. -
IAMUser
- Sets the search criteria to the user account that invoked theMLModel
creation. -
TrainingDataSourceId
- Sets the search criteria to theDataSource
used to train one or moreMLModel
. -
RealtimeEndpointStatus
- Sets the search criteria to theMLModel
real-time endpoint status. -
MLModelType
- Sets the search criteria toMLModel
type: binary, regression, or multi-class. -
Algorithm
- Sets the search criteria to the algorithm that theMLModel
uses. -
TrainingDataURI
- Sets the search criteria to the data file(s) used in training aMLModel
. 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 ofMLModel
:-
CreatedAt
- Sets the search criteria toMLModel
creation date. -
Status
- Sets the search criteria toMLModel
status. -
Name
- Sets the search criteria to the contents ofMLModel
Name
. -
IAMUser
- Sets the search criteria to the user account that invoked theMLModel
creation. -
TrainingDataSourceId
- Sets the search criteria to theDataSource
used to train one or moreMLModel
. -
RealtimeEndpointStatus
- Sets the search criteria to theMLModel
real-time endpoint status. -
MLModelType
- Sets the search criteria toMLModel
type: binary, regression, or multi-class. -
Algorithm
- Sets the search criteria to the algorithm that theMLModel
uses. -
TrainingDataURI
- Sets the search criteria to the data file(s) used in training aMLModel
. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
-
- See Also:
MLModelFilterVariable
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withFilterVariable
public DescribeMLModelsRequest withFilterVariable(MLModelFilterVariable filterVariable)
Use one of the following variables to filter a list of
MLModel
:-
CreatedAt
- Sets the search criteria toMLModel
creation date. -
Status
- Sets the search criteria toMLModel
status. -
Name
- Sets the search criteria to the contents ofMLModel
Name
. -
IAMUser
- Sets the search criteria to the user account that invoked theMLModel
creation. -
TrainingDataSourceId
- Sets the search criteria to theDataSource
used to train one or moreMLModel
. -
RealtimeEndpointStatus
- Sets the search criteria to theMLModel
real-time endpoint status. -
MLModelType
- Sets the search criteria toMLModel
type: binary, regression, or multi-class. -
Algorithm
- Sets the search criteria to the algorithm that theMLModel
uses. -
TrainingDataURI
- Sets the search criteria to the data file(s) used in training aMLModel
. 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 ofMLModel
:-
CreatedAt
- Sets the search criteria toMLModel
creation date. -
Status
- Sets the search criteria toMLModel
status. -
Name
- Sets the search criteria to the contents ofMLModel
Name
. -
IAMUser
- Sets the search criteria to the user account that invoked theMLModel
creation. -
TrainingDataSourceId
- Sets the search criteria to theDataSource
used to train one or moreMLModel
. -
RealtimeEndpointStatus
- Sets the search criteria to theMLModel
real-time endpoint status. -
MLModelType
- Sets the search criteria toMLModel
type: binary, regression, or multi-class. -
Algorithm
- Sets the search criteria to the algorithm that theMLModel
uses. -
TrainingDataURI
- Sets the search criteria to the data file(s) used in training aMLModel
. 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
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setEQ
public void setEQ(String eQ)
The equal to operator. The
MLModel
results will haveFilterVariable
values that exactly match the value specified withEQ
.- Parameters:
eQ
- The equal to operator. TheMLModel
results will haveFilterVariable
values that exactly match the value specified withEQ
.
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getEQ
public String getEQ()
The equal to operator. The
MLModel
results will haveFilterVariable
values that exactly match the value specified withEQ
.- Returns:
- The equal to operator. The
MLModel
results will haveFilterVariable
values that exactly match the value specified withEQ
.
-
withEQ
public DescribeMLModelsRequest withEQ(String eQ)
The equal to operator. The
MLModel
results will haveFilterVariable
values that exactly match the value specified withEQ
.- Parameters:
eQ
- The equal to operator. TheMLModel
results will haveFilterVariable
values that exactly match the value specified withEQ
.- 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 haveFilterVariable
values that are greater than the value specified withGT
.- Parameters:
gT
- The greater than operator. TheMLModel
results will haveFilterVariable
values that are greater than the value specified withGT
.
-
getGT
public String getGT()
The greater than operator. The
MLModel
results will haveFilterVariable
values that are greater than the value specified withGT
.- Returns:
- The greater than operator. The
MLModel
results will haveFilterVariable
values that are greater than the value specified withGT
.
-
withGT
public DescribeMLModelsRequest withGT(String gT)
The greater than operator. The
MLModel
results will haveFilterVariable
values that are greater than the value specified withGT
.- Parameters:
gT
- The greater than operator. TheMLModel
results will haveFilterVariable
values that are greater than the value specified withGT
.- 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 haveFilterVariable
values that are less than the value specified withLT
.- Parameters:
lT
- The less than operator. TheMLModel
results will haveFilterVariable
values that are less than the value specified withLT
.
-
getLT
public String getLT()
The less than operator. The
MLModel
results will haveFilterVariable
values that are less than the value specified withLT
.- Returns:
- The less than operator. The
MLModel
results will haveFilterVariable
values that are less than the value specified withLT
.
-
withLT
public DescribeMLModelsRequest withLT(String lT)
The less than operator. The
MLModel
results will haveFilterVariable
values that are less than the value specified withLT
.- Parameters:
lT
- The less than operator. TheMLModel
results will haveFilterVariable
values that are less than the value specified withLT
.- 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 haveFilterVariable
values that are greater than or equal to the value specified withGE
.- Parameters:
gE
- The greater than or equal to operator. TheMLModel
results will haveFilterVariable
values that are greater than or equal to the value specified withGE
.
-
getGE
public String getGE()
The greater than or equal to operator. The
MLModel
results will haveFilterVariable
values that are greater than or equal to the value specified withGE
.- Returns:
- The greater than or equal to operator. The
MLModel
results will haveFilterVariable
values that are greater than or equal to the value specified withGE
.
-
withGE
public DescribeMLModelsRequest withGE(String gE)
The greater than or equal to operator. The
MLModel
results will haveFilterVariable
values that are greater than or equal to the value specified withGE
.- Parameters:
gE
- The greater than or equal to operator. TheMLModel
results will haveFilterVariable
values that are greater than or equal to the value specified withGE
.- 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 haveFilterVariable
values that are less than or equal to the value specified withLE
.- Parameters:
lE
- The less than or equal to operator. TheMLModel
results will haveFilterVariable
values that are less than or equal to the value specified withLE
.
-
getLE
public String getLE()
The less than or equal to operator. The
MLModel
results will haveFilterVariable
values that are less than or equal to the value specified withLE
.- Returns:
- The less than or equal to operator. The
MLModel
results will haveFilterVariable
values that are less than or equal to the value specified withLE
.
-
withLE
public DescribeMLModelsRequest withLE(String lE)
The less than or equal to operator. The
MLModel
results will haveFilterVariable
values that are less than or equal to the value specified withLE
.- Parameters:
lE
- The less than or equal to operator. TheMLModel
results will haveFilterVariable
values that are less than or equal to the value specified withLE
.- 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 haveFilterVariable
values not equal to the value specified withNE
.- Parameters:
nE
- The not equal to operator. TheMLModel
results will haveFilterVariable
values not equal to the value specified withNE
.
-
getNE
public String getNE()
The not equal to operator. The
MLModel
results will haveFilterVariable
values not equal to the value specified withNE
.- Returns:
- The not equal to operator. The
MLModel
results will haveFilterVariable
values not equal to the value specified withNE
.
-
withNE
public DescribeMLModelsRequest withNE(String nE)
The not equal to operator. The
MLModel
results will haveFilterVariable
values not equal to the value specified withNE
.- Parameters:
nE
- The not equal to operator. TheMLModel
results will haveFilterVariable
values not equal to the value specified withNE
.- 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
orId
.For example, an
MLModel
could have theName
2014-09-09-HolidayGiftMailer
. To search for thisMLModel
, selectName
for theFilterVariable
and any of the following strings for thePrefix
:-
2014-09
-
2014-09-09
-
2014-09-09-Holiday
- Parameters:
prefix
- A string that is found at the beginning of a variable, such asName
orId
.For example, an
MLModel
could have theName
2014-09-09-HolidayGiftMailer
. To search for thisMLModel
, selectName
for theFilterVariable
and any of the following strings for thePrefix
:-
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
orId
.For example, an
MLModel
could have theName
2014-09-09-HolidayGiftMailer
. To search for thisMLModel
, selectName
for theFilterVariable
and any of the following strings for thePrefix
:-
2014-09
-
2014-09-09
-
2014-09-09-Holiday
- Returns:
- A string that is found at the beginning of a variable, such as
Name
orId
.For example, an
MLModel
could have theName
2014-09-09-HolidayGiftMailer
. To search for thisMLModel
, selectName
for theFilterVariable
and any of the following strings for thePrefix
:-
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
orId
.For example, an
MLModel
could have theName
2014-09-09-HolidayGiftMailer
. To search for thisMLModel
, selectName
for theFilterVariable
and any of the following strings for thePrefix
:-
2014-09
-
2014-09-09
-
2014-09-09-Holiday
- Parameters:
prefix
- A string that is found at the beginning of a variable, such asName
orId
.For example, an
MLModel
could have theName
2014-09-09-HolidayGiftMailer
. To search for thisMLModel
, selectName
for theFilterVariable
and any of the following strings for thePrefix
:-
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 ofMLModel
.-
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 ofMLModel
.-
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 ofMLModel
.-
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 ofMLModel
.-
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.
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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.
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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.
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toString
public String toString()
Returns a string representation of this object; useful for testing and debugging.- Overrides:
toString
in classObject
- Returns:
- A string representation of this object.
- See Also:
Object.toString()
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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 classAmazonWebServiceRequest
- See Also:
Object.clone()
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