Struct Algorithm

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#[non_exhaustive]
pub struct Algorithm { pub name: Option<String>, pub algorithm_arn: Option<String>, pub algorithm_image: Option<AlgorithmImage>, pub default_hyper_parameters: Option<HashMap<String, String>>, pub default_hyper_parameter_ranges: Option<DefaultHyperParameterRanges>, pub default_resource_config: Option<HashMap<String, String>>, pub training_input_mode: Option<String>, pub role_arn: Option<String>, pub creation_date_time: Option<DateTime>, pub last_updated_date_time: Option<DateTime>, }
Expand description

Describes a custom algorithm.

Fields (Non-exhaustive)§

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
§name: Option<String>

The name of the algorithm.

§algorithm_arn: Option<String>

The Amazon Resource Name (ARN) of the algorithm.

§algorithm_image: Option<AlgorithmImage>

The URI of the Docker container for the algorithm image.

§default_hyper_parameters: Option<HashMap<String, String>>

Specifies the default hyperparameters.

§default_hyper_parameter_ranges: Option<DefaultHyperParameterRanges>

Specifies the default hyperparameters, their ranges, and whether they are tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

§default_resource_config: Option<HashMap<String, String>>

Specifies the default maximum number of training jobs and parallel training jobs.

§training_input_mode: Option<String>

The training input mode.

§role_arn: Option<String>

The Amazon Resource Name (ARN) of the role.

§creation_date_time: Option<DateTime>

The date and time (in Unix time) that the algorithm was created.

§last_updated_date_time: Option<DateTime>

The date and time (in Unix time) that the algorithm was last updated.

Implementations§

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impl Algorithm

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pub fn name(&self) -> Option<&str>

The name of the algorithm.

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pub fn algorithm_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of the algorithm.

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pub fn algorithm_image(&self) -> Option<&AlgorithmImage>

The URI of the Docker container for the algorithm image.

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pub fn default_hyper_parameters(&self) -> Option<&HashMap<String, String>>

Specifies the default hyperparameters.

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pub fn default_hyper_parameter_ranges( &self, ) -> Option<&DefaultHyperParameterRanges>

Specifies the default hyperparameters, their ranges, and whether they are tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

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pub fn default_resource_config(&self) -> Option<&HashMap<String, String>>

Specifies the default maximum number of training jobs and parallel training jobs.

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pub fn training_input_mode(&self) -> Option<&str>

The training input mode.

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pub fn role_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of the role.

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pub fn creation_date_time(&self) -> Option<&DateTime>

The date and time (in Unix time) that the algorithm was created.

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pub fn last_updated_date_time(&self) -> Option<&DateTime>

The date and time (in Unix time) that the algorithm was last updated.

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impl Algorithm

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pub fn builder() -> AlgorithmBuilder

Creates a new builder-style object to manufacture Algorithm.

Trait Implementations§

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impl Clone for Algorithm

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fn clone(&self) -> Algorithm

Returns a duplicate of the value. Read more
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const fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for Algorithm

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl PartialEq for Algorithm

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fn eq(&self, other: &Algorithm) -> bool

Tests for self and other values to be equal, and is used by ==.
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const fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for Algorithm

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