pub struct DescribeMLModels { /* private fields */ }
Expand description
Fluent builder constructing a request to DescribeMLModels
.
Returns a list of MLModel
that match the search criteria in the request.
Implementations
sourceimpl DescribeMLModels
impl DescribeMLModels
sourcepub async fn send(
self
) -> Result<DescribeMlModelsOutput, SdkError<DescribeMLModelsError>>
pub async fn send(
self
) -> Result<DescribeMlModelsOutput, SdkError<DescribeMLModelsError>>
Sends the request and returns the response.
If an error occurs, an SdkError
will be returned with additional details that
can be matched against.
By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.
sourcepub fn into_paginator(self) -> DescribeMlModelsPaginator
pub fn into_paginator(self) -> DescribeMlModelsPaginator
Create a paginator for this request
Paginators are used by calling send().await
which returns a Stream
.
sourcepub fn filter_variable(self, input: MlModelFilterVariable) -> Self
pub fn filter_variable(self, input: MlModelFilterVariable) -> Self
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.
sourcepub fn set_filter_variable(self, input: Option<MlModelFilterVariable>) -> Self
pub fn set_filter_variable(self, input: Option<MlModelFilterVariable>) -> Self
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.
sourcepub fn eq(self, input: impl Into<String>) -> Self
pub fn eq(self, input: impl Into<String>) -> Self
The equal to operator. The MLModel
results will have FilterVariable
values that exactly match the value specified with EQ
.
sourcepub fn set_eq(self, input: Option<String>) -> Self
pub fn set_eq(self, input: Option<String>) -> Self
The equal to operator. The MLModel
results will have FilterVariable
values that exactly match the value specified with EQ
.
sourcepub fn gt(self, input: impl Into<String>) -> Self
pub fn gt(self, input: impl Into<String>) -> Self
The greater than operator. The MLModel
results will have FilterVariable
values that are greater than the value specified with GT
.
sourcepub fn set_gt(self, input: Option<String>) -> Self
pub fn set_gt(self, input: Option<String>) -> Self
The greater than operator. The MLModel
results will have FilterVariable
values that are greater than the value specified with GT
.
sourcepub fn lt(self, input: impl Into<String>) -> Self
pub fn lt(self, input: impl Into<String>) -> Self
The less than operator. The MLModel
results will have FilterVariable
values that are less than the value specified with LT
.
sourcepub fn set_lt(self, input: Option<String>) -> Self
pub fn set_lt(self, input: Option<String>) -> Self
The less than operator. The MLModel
results will have FilterVariable
values that are less than the value specified with LT
.
sourcepub fn ge(self, input: impl Into<String>) -> Self
pub fn ge(self, input: impl Into<String>) -> Self
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
.
sourcepub fn set_ge(self, input: Option<String>) -> Self
pub fn set_ge(self, input: Option<String>) -> Self
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
.
sourcepub fn le(self, input: impl Into<String>) -> Self
pub fn le(self, input: impl Into<String>) -> Self
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
.
sourcepub fn set_le(self, input: Option<String>) -> Self
pub fn set_le(self, input: Option<String>) -> Self
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
.
sourcepub fn ne(self, input: impl Into<String>) -> Self
pub fn ne(self, input: impl Into<String>) -> Self
The not equal to operator. The MLModel
results will have FilterVariable
values not equal to the value specified with NE
.
sourcepub fn set_ne(self, input: Option<String>) -> Self
pub fn set_ne(self, input: Option<String>) -> Self
The not equal to operator. The MLModel
results will have FilterVariable
values not equal to the value specified with NE
.
sourcepub fn prefix(self, input: impl Into<String>) -> Self
pub fn prefix(self, input: impl Into<String>) -> Self
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
sourcepub fn set_prefix(self, input: Option<String>) -> Self
pub fn set_prefix(self, input: Option<String>) -> Self
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
sourcepub fn sort_order(self, input: SortOrder) -> Self
pub fn sort_order(self, input: SortOrder) -> Self
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
.
sourcepub fn set_sort_order(self, input: Option<SortOrder>) -> Self
pub fn set_sort_order(self, input: Option<SortOrder>) -> Self
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
.
sourcepub fn next_token(self, input: impl Into<String>) -> Self
pub fn next_token(self, input: impl Into<String>) -> Self
The ID of the page in the paginated results.
sourcepub fn set_next_token(self, input: Option<String>) -> Self
pub fn set_next_token(self, input: Option<String>) -> Self
The ID of the page in the paginated results.
Trait Implementations
sourceimpl Clone for DescribeMLModels
impl Clone for DescribeMLModels
sourcefn clone(&self) -> DescribeMLModels
fn clone(&self) -> DescribeMLModels
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
Auto Trait Implementations
impl !RefUnwindSafe for DescribeMLModels
impl Send for DescribeMLModels
impl Sync for DescribeMLModels
impl Unpin for DescribeMLModels
impl !UnwindSafe for DescribeMLModels
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcepub fn borrow_mut(&mut self) -> &mut T
pub fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<T> Instrument for T
impl<T> Instrument for T
sourcefn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
sourcefn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
sourceimpl<T> ToOwned for T where
T: Clone,
impl<T> ToOwned for T where
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
sourcepub fn to_owned(&self) -> T
pub fn to_owned(&self) -> T
Creates owned data from borrowed data, usually by cloning. Read more
sourcepub fn clone_into(&self, target: &mut T)
pub fn clone_into(&self, target: &mut T)
toowned_clone_into
)Uses borrowed data to replace owned data, usually by cloning. Read more
sourceimpl<T> WithSubscriber for T
impl<T> WithSubscriber for T
sourcefn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
sourcefn with_current_subscriber(self) -> WithDispatch<Self>
fn with_current_subscriber(self) -> WithDispatch<Self>
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more