Struct aws_sdk_machinelearning::input::DescribeMlModelsInput [−][src]
#[non_exhaustive]pub struct DescribeMlModelsInput {
pub filter_variable: Option<MlModelFilterVariable>,
pub eq: Option<String>,
pub gt: Option<String>,
pub lt: Option<String>,
pub ge: Option<String>,
pub le: Option<String>,
pub ne: Option<String>,
pub prefix: Option<String>,
pub sort_order: Option<SortOrder>,
pub next_token: Option<String>,
pub limit: Option<i32>,
}
Fields (Non-exhaustive)
This struct is marked as non-exhaustive
Struct { .. }
syntax; cannot be matched against without a wildcard ..
; and struct update syntax will not work.filter_variable: Option<MlModelFilterVariable>
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.
eq: Option<String>
The equal to operator. The MLModel
results will have
FilterVariable
values that exactly match the value specified with EQ
.
gt: Option<String>
The greater than operator. The MLModel
results will
have FilterVariable
values that are greater than the value specified with GT
.
lt: Option<String>
The less than operator. The MLModel
results will
have FilterVariable
values that are less than the value specified with LT
.
ge: Option<String>
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
.
le: Option<String>
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
.
ne: Option<String>
The not equal to operator. The MLModel
results will have FilterVariable
values not equal to the value specified with NE
.
prefix: Option<String>
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
sort_order: Option<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
.
next_token: Option<String>
The ID of the page in the paginated results.
limit: Option<i32>
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
.
Implementations
pub async fn make_operation(
&self,
_config: &Config
) -> Result<Operation<DescribeMLModels, AwsErrorRetryPolicy>, BuildError>
pub async fn make_operation(
&self,
_config: &Config
) -> Result<Operation<DescribeMLModels, AwsErrorRetryPolicy>, BuildError>
Consumes the builder and constructs an Operation<DescribeMLModels
>
Creates a new builder-style object to manufacture DescribeMlModelsInput
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.
The equal to operator. The MLModel
results will have
FilterVariable
values that exactly match the value specified with EQ
.
The greater than operator. The MLModel
results will
have FilterVariable
values that are greater than the value specified with GT
.
The less than operator. The MLModel
results will
have FilterVariable
values that are less than the value specified with LT
.
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
.
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
.
The not equal to operator. The MLModel
results will have FilterVariable
values not equal to the value specified with NE
.
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
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
.
The ID of the page in the paginated results.
Trait Implementations
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
This method tests for !=
.
Auto Trait Implementations
impl RefUnwindSafe for DescribeMlModelsInput
impl Send for DescribeMlModelsInput
impl Sync for DescribeMlModelsInput
impl Unpin for DescribeMlModelsInput
impl UnwindSafe for DescribeMlModelsInput
Blanket Implementations
Mutably borrows from an owned value. Read more
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more