Struct aws_sdk_sagemaker::types::builders::CandidateGenerationConfigBuilder

#[non_exhaustive]
pub struct CandidateGenerationConfigBuilder { /* private fields */ }

A builder for CandidateGenerationConfig.

Implementations

impl CandidateGenerationConfigBuilder

pub fn algorithms_config(self, input: AutoMlAlgorithmConfig) -> Self

Appends an item to algorithms_config.

To override the contents of this collection use set_algorithms_config.

Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.

The list of available algorithms to choose from depends on the training mode set in TabularJobConfig.Mode .

• AlgorithmsConfig should not be set in AUTO training mode.

• When AlgorithmsConfig is provided, one AutoMLAlgorithms attribute must be set and one only.

  If the list of algorithms provided as values for AutoMLAlgorithms is empty, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

• When AlgorithmsConfig is not provided, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.

For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.

pub fn set_algorithms_config( self, input: Option<Vec<AutoMlAlgorithmConfig>> ) -> Self

Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.

The list of available algorithms to choose from depends on the training mode set in TabularJobConfig.Mode .

• AlgorithmsConfig should not be set in AUTO training mode.

• When AlgorithmsConfig is provided, one AutoMLAlgorithms attribute must be set and one only.

  If the list of algorithms provided as values for AutoMLAlgorithms is empty, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

• When AlgorithmsConfig is not provided, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.

For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.

pub fn get_algorithms_config(&self) -> &Option<Vec<AutoMlAlgorithmConfig>>

Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.

The list of available algorithms to choose from depends on the training mode set in TabularJobConfig.Mode .

• AlgorithmsConfig should not be set in AUTO training mode.

• When AlgorithmsConfig is provided, one AutoMLAlgorithms attribute must be set and one only.

  If the list of algorithms provided as values for AutoMLAlgorithms is empty, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

• When AlgorithmsConfig is not provided, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.

For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.

pub fn build(self) -> CandidateGenerationConfig

Consumes the builder and constructs a CandidateGenerationConfig.

Trait Implementations

impl Clone for CandidateGenerationConfigBuilder

fn clone(&self) -> CandidateGenerationConfigBuilder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CandidateGenerationConfigBuilder

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

Formats the value using the given formatter.

impl Default for CandidateGenerationConfigBuilder

fn default() -> CandidateGenerationConfigBuilder

Returns the “default value” for a type.

impl PartialEq<CandidateGenerationConfigBuilder> for CandidateGenerationConfigBuilder

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

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for CandidateGenerationConfigBuilder