Struct rusoto_sagemaker::CreateAlgorithmInput
source · [−]pub struct CreateAlgorithmInput {
pub algorithm_description: Option<String>,
pub algorithm_name: String,
pub certify_for_marketplace: Option<bool>,
pub inference_specification: Option<InferenceSpecification>,
pub tags: Option<Vec<Tag>>,
pub training_specification: TrainingSpecification,
pub validation_specification: Option<AlgorithmValidationSpecification>,
}
Fields
algorithm_description: Option<String>
A description of the algorithm.
algorithm_name: String
The name of the algorithm.
certify_for_marketplace: Option<bool>
Whether to certify the algorithm so that it can be listed in AWS Marketplace.
inference_specification: Option<InferenceSpecification>
Specifies details about inference jobs that the algorithm runs, including the following:
-
The Amazon ECR paths of containers that contain the inference code and model artifacts.
-
The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
-
The input and output content formats that the algorithm supports for inference.
An array of key-value pairs. You can use tags to categorize your AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS Resources.
training_specification: TrainingSpecification
Specifies details about training jobs run by this algorithm, including the following:
-
The Amazon ECR path of the container and the version digest of the algorithm.
-
The hyperparameters that the algorithm supports.
-
The instance types that the algorithm supports for training.
-
Whether the algorithm supports distributed training.
-
The metrics that the algorithm emits to Amazon CloudWatch.
-
Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
-
The input channels that the algorithm supports for training data. For example, an algorithm might support
train
,validation
, andtest
channels.
validation_specification: Option<AlgorithmValidationSpecification>
Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.
Trait Implementations
sourceimpl Clone for CreateAlgorithmInput
impl Clone for CreateAlgorithmInput
sourcefn clone(&self) -> CreateAlgorithmInput
fn clone(&self) -> CreateAlgorithmInput
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
sourceimpl Debug for CreateAlgorithmInput
impl Debug for CreateAlgorithmInput
sourceimpl Default for CreateAlgorithmInput
impl Default for CreateAlgorithmInput
sourcefn default() -> CreateAlgorithmInput
fn default() -> CreateAlgorithmInput
Returns the “default value” for a type. Read more
sourceimpl PartialEq<CreateAlgorithmInput> for CreateAlgorithmInput
impl PartialEq<CreateAlgorithmInput> for CreateAlgorithmInput
sourcefn eq(&self, other: &CreateAlgorithmInput) -> bool
fn eq(&self, other: &CreateAlgorithmInput) -> bool
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
sourcefn ne(&self, other: &CreateAlgorithmInput) -> bool
fn ne(&self, other: &CreateAlgorithmInput) -> bool
This method tests for !=
.
sourceimpl Serialize for CreateAlgorithmInput
impl Serialize for CreateAlgorithmInput
impl StructuralPartialEq for CreateAlgorithmInput
Auto Trait Implementations
impl RefUnwindSafe for CreateAlgorithmInput
impl Send for CreateAlgorithmInput
impl Sync for CreateAlgorithmInput
impl Unpin for CreateAlgorithmInput
impl UnwindSafe for CreateAlgorithmInput
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
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.
sourcefn clone_into(&self, target: &mut T)
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