public class DescribeMLModelsRequest extends AmazonWebServiceRequest implements java.io.Serializable, java.lang.Cloneable
Modifier and Type | Field and Description |
---|---|
private java.lang.String |
eQ
The equal to operator.
|
private java.lang.String |
filterVariable
Use one of the following variables to filter a list of
MLModel : |
private java.lang.String |
gE
The greater than or equal to operator.
|
private java.lang.String |
gT
The greater than operator.
|
private java.lang.String |
lE
The less than or equal to operator.
|
private java.lang.Integer |
limit
The number of pages of information to include in the result.
|
private java.lang.String |
lT
The less than operator.
|
private java.lang.String |
nE
The not equal to operator.
|
private java.lang.String |
nextToken
The ID of the page in the paginated results.
|
private java.lang.String |
prefix
A string that is found at the beginning of a variable, such as
Name or Id . |
private java.lang.String |
sortOrder
A two-value parameter that determines the sequence of the resulting list
of
MLModel . |
NOOP
Constructor and Description |
---|
DescribeMLModelsRequest() |
Modifier and Type | Method and Description |
---|---|
DescribeMLModelsRequest |
clone()
Creates a shallow clone of this request.
|
boolean |
equals(java.lang.Object obj) |
java.lang.String |
getEQ()
The equal to operator.
|
java.lang.String |
getFilterVariable()
Use one of the following variables to filter a list of
MLModel : |
java.lang.String |
getGE()
The greater than or equal to operator.
|
java.lang.String |
getGT()
The greater than operator.
|
java.lang.String |
getLE()
The less than or equal to operator.
|
java.lang.Integer |
getLimit()
The number of pages of information to include in the result.
|
java.lang.String |
getLT()
The less than operator.
|
java.lang.String |
getNE()
The not equal to operator.
|
java.lang.String |
getNextToken()
The ID of the page in the paginated results.
|
java.lang.String |
getPrefix()
A string that is found at the beginning of a variable, such as
Name or Id . |
java.lang.String |
getSortOrder()
A two-value parameter that determines the sequence of the resulting list
of
MLModel . |
int |
hashCode() |
void |
setEQ(java.lang.String eQ)
The equal to operator.
|
void |
setFilterVariable(MLModelFilterVariable filterVariable)
Use one of the following variables to filter a list of
MLModel : |
void |
setFilterVariable(java.lang.String filterVariable)
Use one of the following variables to filter a list of
MLModel : |
void |
setGE(java.lang.String gE)
The greater than or equal to operator.
|
void |
setGT(java.lang.String gT)
The greater than operator.
|
void |
setLE(java.lang.String lE)
The less than or equal to operator.
|
void |
setLimit(java.lang.Integer limit)
The number of pages of information to include in the result.
|
void |
setLT(java.lang.String lT)
The less than operator.
|
void |
setNE(java.lang.String nE)
The not equal to operator.
|
void |
setNextToken(java.lang.String nextToken)
The ID of the page in the paginated results.
|
void |
setPrefix(java.lang.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(java.lang.String sortOrder)
A two-value parameter that determines the sequence of the resulting list
of
MLModel . |
java.lang.String |
toString()
Returns a string representation of this object; useful for testing and
debugging.
|
DescribeMLModelsRequest |
withEQ(java.lang.String eQ)
The equal to operator.
|
DescribeMLModelsRequest |
withFilterVariable(MLModelFilterVariable filterVariable)
Use one of the following variables to filter a list of
MLModel : |
DescribeMLModelsRequest |
withFilterVariable(java.lang.String filterVariable)
Use one of the following variables to filter a list of
MLModel : |
DescribeMLModelsRequest |
withGE(java.lang.String gE)
The greater than or equal to operator.
|
DescribeMLModelsRequest |
withGT(java.lang.String gT)
The greater than operator.
|
DescribeMLModelsRequest |
withLE(java.lang.String lE)
The less than or equal to operator.
|
DescribeMLModelsRequest |
withLimit(java.lang.Integer limit)
The number of pages of information to include in the result.
|
DescribeMLModelsRequest |
withLT(java.lang.String lT)
The less than operator.
|
DescribeMLModelsRequest |
withNE(java.lang.String nE)
The not equal to operator.
|
DescribeMLModelsRequest |
withNextToken(java.lang.String nextToken)
The ID of the page in the paginated results.
|
DescribeMLModelsRequest |
withPrefix(java.lang.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(java.lang.String sortOrder)
A two-value parameter that determines the sequence of the resulting list
of
MLModel . |
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
private java.lang.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.private java.lang.String eQ
The equal to operator. The MLModel
results will have
FilterVariable
values that exactly match the value specified
with EQ
.
private java.lang.String gT
The greater than operator. The MLModel
results will have
FilterVariable
values that are greater than the value
specified with GT
.
private java.lang.String lT
The less than operator. The MLModel
results will have
FilterVariable
values that are less than the value specified
with LT
.
private java.lang.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
.
private java.lang.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
.
private java.lang.String nE
The not equal to operator. The MLModel
results will have
FilterVariable
values not equal to the value specified with
NE
.
private java.lang.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
private java.lang.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
.
private java.lang.String nextToken
The ID of the page in the paginated results.
private java.lang.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.
public void setFilterVariable(java.lang.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.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.MLModelFilterVariable
public java.lang.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.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.MLModelFilterVariable
public DescribeMLModelsRequest withFilterVariable(java.lang.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.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.MLModelFilterVariable
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.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.MLModelFilterVariable
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.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.MLModelFilterVariable
public void setEQ(java.lang.String eQ)
The equal to operator. The MLModel
results will have
FilterVariable
values that exactly match the value specified
with EQ
.
eQ
- The equal to operator. The MLModel
results will have
FilterVariable
values that exactly match the value
specified with EQ
.public java.lang.String getEQ()
The equal to operator. The MLModel
results will have
FilterVariable
values that exactly match the value specified
with EQ
.
MLModel
results will have
FilterVariable
values that exactly match the value
specified with EQ
.public DescribeMLModelsRequest withEQ(java.lang.String eQ)
The equal to operator. The MLModel
results will have
FilterVariable
values that exactly match the value specified
with EQ
.
eQ
- The equal to operator. The MLModel
results will have
FilterVariable
values that exactly match the value
specified with EQ
.public void setGT(java.lang.String gT)
The greater than operator. The MLModel
results will have
FilterVariable
values that are greater than the value
specified with GT
.
gT
- The greater than operator. The MLModel
results will
have FilterVariable
values that are greater than the
value specified with GT
.public java.lang.String getGT()
The greater than operator. The MLModel
results will have
FilterVariable
values that are greater than the value
specified with GT
.
MLModel
results will
have FilterVariable
values that are greater than the
value specified with GT
.public DescribeMLModelsRequest withGT(java.lang.String gT)
The greater than operator. The MLModel
results will have
FilterVariable
values that are greater than the value
specified with GT
.
gT
- The greater than operator. The MLModel
results will
have FilterVariable
values that are greater than the
value specified with GT
.public void setLT(java.lang.String lT)
The less than operator. The MLModel
results will have
FilterVariable
values that are less than the value specified
with LT
.
lT
- The less than operator. The MLModel
results will have
FilterVariable
values that are less than the value
specified with LT
.public java.lang.String getLT()
The less than operator. The MLModel
results will have
FilterVariable
values that are less than the value specified
with LT
.
MLModel
results will
have FilterVariable
values that are less than the
value specified with LT
.public DescribeMLModelsRequest withLT(java.lang.String lT)
The less than operator. The MLModel
results will have
FilterVariable
values that are less than the value specified
with LT
.
lT
- The less than operator. The MLModel
results will have
FilterVariable
values that are less than the value
specified with LT
.public void setGE(java.lang.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
.
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
.public java.lang.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
.
MLModel
results will have FilterVariable
values that are
greater than or equal to the value specified with GE
.public DescribeMLModelsRequest withGE(java.lang.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
.
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
.public void setLE(java.lang.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
.
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
.public java.lang.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
.
MLModel
results will have FilterVariable
values that are
less than or equal to the value specified with LE
.public DescribeMLModelsRequest withLE(java.lang.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
.
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
.public void setNE(java.lang.String nE)
The not equal to operator. The MLModel
results will have
FilterVariable
values not equal to the value specified with
NE
.
nE
- The not equal to operator. The MLModel
results will
have FilterVariable
values not equal to the value
specified with NE
.public java.lang.String getNE()
The not equal to operator. The MLModel
results will have
FilterVariable
values not equal to the value specified with
NE
.
MLModel
results will
have FilterVariable
values not equal to the value
specified with NE
.public DescribeMLModelsRequest withNE(java.lang.String nE)
The not equal to operator. The MLModel
results will have
FilterVariable
values not equal to the value specified with
NE
.
nE
- The not equal to operator. The MLModel
results will
have FilterVariable
values not equal to the value
specified with NE
.public void setPrefix(java.lang.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
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
public java.lang.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
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
public DescribeMLModelsRequest withPrefix(java.lang.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
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
public void setSortOrder(java.lang.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
.
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
.
SortOrder
public java.lang.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
.
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
.
SortOrder
public DescribeMLModelsRequest withSortOrder(java.lang.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
.
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
.
SortOrder
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
.
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
.
SortOrder
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
.
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
.
SortOrder
public void setNextToken(java.lang.String nextToken)
The ID of the page in the paginated results.
nextToken
- The ID of the page in the paginated results.public java.lang.String getNextToken()
The ID of the page in the paginated results.
public DescribeMLModelsRequest withNextToken(java.lang.String nextToken)
The ID of the page in the paginated results.
nextToken
- The ID of the page in the paginated results.public void setLimit(java.lang.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.
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.public java.lang.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.
public DescribeMLModelsRequest withLimit(java.lang.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.
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.public java.lang.String toString()
toString
in class java.lang.Object
Object.toString()
public boolean equals(java.lang.Object obj)
equals
in class java.lang.Object
public int hashCode()
hashCode
in class java.lang.Object
public DescribeMLModelsRequest clone()
AmazonWebServiceRequest
clone
in class AmazonWebServiceRequest
Object.clone()