Interface DescribeMlModelsRequest.Builder
- All Superinterfaces:
AwsRequest.Builder
,Buildable
,CopyableBuilder<DescribeMlModelsRequest.Builder,
,DescribeMlModelsRequest> MachineLearningRequest.Builder
,SdkBuilder<DescribeMlModelsRequest.Builder,
,DescribeMlModelsRequest> SdkPojo
,SdkRequest.Builder
- Enclosing class:
DescribeMlModelsRequest
-
Method Summary
Modifier and TypeMethodDescriptionThe equal to operator.filterVariable
(String filterVariable) Use one of the following variables to filter a list ofMLModel
:filterVariable
(MLModelFilterVariable filterVariable) Use one of the following variables to filter a list ofMLModel
:The greater than or equal to operator.The greater than operator.The less than or equal to operator.The number of pages of information to include in the result.The less than operator.The not equal to operator.The ID of the page in the paginated results.overrideConfiguration
(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer) Add an optional request override configuration.overrideConfiguration
(AwsRequestOverrideConfiguration overrideConfiguration) Add an optional request override configuration.A string that is found at the beginning of a variable, such asName
orId
.A two-value parameter that determines the sequence of the resulting list ofMLModel
.A two-value parameter that determines the sequence of the resulting list ofMLModel
.Methods inherited from interface software.amazon.awssdk.awscore.AwsRequest.Builder
overrideConfiguration
Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder
copy
Methods inherited from interface software.amazon.awssdk.services.machinelearning.model.MachineLearningRequest.Builder
build
Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, build
Methods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFields
-
Method Details
-
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:
-
-
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:
-
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
-
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
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:
-
-
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.
-
limit
The number of pages of information to include in the result. The range of acceptable values is
1
through100
. The default value is100
.- Parameters:
limit
- The number of pages of information to include in the result. The range of acceptable values is1
through100
. The default value is100
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
overrideConfiguration
DescribeMlModelsRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration) Description copied from interface:AwsRequest.Builder
Add an optional request override configuration.- Specified by:
overrideConfiguration
in interfaceAwsRequest.Builder
- Parameters:
overrideConfiguration
- The override configuration.- Returns:
- This object for method chaining.
-
overrideConfiguration
DescribeMlModelsRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer) Description copied from interface:AwsRequest.Builder
Add an optional request override configuration.- Specified by:
overrideConfiguration
in interfaceAwsRequest.Builder
- Parameters:
builderConsumer
- AConsumer
to which an emptyAwsRequestOverrideConfiguration.Builder
will be given.- Returns:
- This object for method chaining.
-