Struct aws_sdk_personalize::types::builders::TrainingDataConfigBuilder

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

A builder for TrainingDataConfig.

Implementations

impl TrainingDataConfigBuilder

pub fn excluded_dataset_columns( self, k: impl Into<String>, v: Vec<String> ) -> Self

Adds a key-value pair to excluded_dataset_columns.

To override the contents of this collection use set_excluded_dataset_columns.

Specifies the columns to exclude from training. Each key is a dataset type, and each value is a list of columns. Exclude columns to control what data Amazon Personalize uses to generate recommendations.

For example, you might have a column that you want to use only to filter recommendations. You can exclude this column from training and Amazon Personalize considers it only when filtering.

pub fn set_excluded_dataset_columns( self, input: Option<HashMap<String, Vec<String>>> ) -> Self

Specifies the columns to exclude from training. Each key is a dataset type, and each value is a list of columns. Exclude columns to control what data Amazon Personalize uses to generate recommendations.

For example, you might have a column that you want to use only to filter recommendations. You can exclude this column from training and Amazon Personalize considers it only when filtering.

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

Specifies the columns to exclude from training. Each key is a dataset type, and each value is a list of columns. Exclude columns to control what data Amazon Personalize uses to generate recommendations.

For example, you might have a column that you want to use only to filter recommendations. You can exclude this column from training and Amazon Personalize considers it only when filtering.

pub fn build(self) -> TrainingDataConfig

Consumes the builder and constructs a TrainingDataConfig.

Trait Implementations

impl Clone for TrainingDataConfigBuilder

fn clone(&self) -> TrainingDataConfigBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TrainingDataConfigBuilder

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

Formats the value using the given formatter.

impl Default for TrainingDataConfigBuilder

fn default() -> TrainingDataConfigBuilder

Returns the “default value” for a type.

impl PartialEq for TrainingDataConfigBuilder

fn eq(&self, other: &TrainingDataConfigBuilder) -> 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 TrainingDataConfigBuilder