[−][src]Struct rusoto_sagemaker::HyperParameterAlgorithmSpecification
Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics to monitor.
Fields
algorithm_name: Option<String>
The name of the resource algorithm to use for the hyperparameter tuning job. If you specify a value for this parameter, do not specify a value for TrainingImage
.
metric_definitions: Option<Vec<MetricDefinition>>
An array of MetricDefinition objects that specify the metrics that the algorithm emits.
training_image: Option<String>
The registry path of the Docker image that contains the training algorithm. For information about Docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. Amazon SageMaker supports both registry/repository[:tag]
and registry/repository[@digest]
image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
training_input_mode: String
The input mode that the algorithm supports: File or Pipe. In File input mode, Amazon SageMaker downloads the training data from Amazon S3 to the storage volume that is attached to the training instance and mounts the directory to the Docker volume for the training container. In Pipe input mode, Amazon SageMaker streams data directly from Amazon S3 to the container.
If you specify File mode, make sure that you provision the storage volume that is attached to the training instance with enough capacity to accommodate the training data downloaded from Amazon S3, the model artifacts, and intermediate information.
For more information about input modes, see Algorithms.
Trait Implementations
impl Clone for HyperParameterAlgorithmSpecification
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pub fn clone(&self) -> HyperParameterAlgorithmSpecification
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pub fn clone_from(&mut self, source: &Self)
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impl Debug for HyperParameterAlgorithmSpecification
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impl Default for HyperParameterAlgorithmSpecification
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pub fn default() -> HyperParameterAlgorithmSpecification
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impl<'de> Deserialize<'de> for HyperParameterAlgorithmSpecification
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pub fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
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__D: Deserializer<'de>,
impl PartialEq<HyperParameterAlgorithmSpecification> for HyperParameterAlgorithmSpecification
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pub fn eq(&self, other: &HyperParameterAlgorithmSpecification) -> bool
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pub fn ne(&self, other: &HyperParameterAlgorithmSpecification) -> bool
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impl Serialize for HyperParameterAlgorithmSpecification
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pub fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
__S: Serializer,
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__S: Serializer,
impl StructuralPartialEq for HyperParameterAlgorithmSpecification
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Auto Trait Implementations
impl RefUnwindSafe for HyperParameterAlgorithmSpecification
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impl Send for HyperParameterAlgorithmSpecification
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impl Sync for HyperParameterAlgorithmSpecification
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impl Unpin for HyperParameterAlgorithmSpecification
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impl UnwindSafe for HyperParameterAlgorithmSpecification
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Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> DeserializeOwned for T where
T: for<'de> Deserialize<'de>,
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T: for<'de> Deserialize<'de>,
impl<T> From<T> for T
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> Same<T> for T
type Output = T
Should always be Self
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,