Struct aws_sdk_glue::model::TransformParameters

#[non_exhaustive]
pub struct TransformParameters {
    pub transform_type: Option<TransformType>,
    pub find_matches_parameters: Option<FindMatchesParameters>,
}

The algorithm-specific parameters that are associated with the machine learning transform.

Fields (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.

transform_type: Option<TransformType>

The type of machine learning transform.

For information about the types of machine learning transforms, see Creating Machine Learning Transforms.

find_matches_parameters: Option<FindMatchesParameters>

The parameters for the find matches algorithm.

Implementations

impl TransformParameters

pub fn transform_type(&self) -> Option<&TransformType>

The type of machine learning transform.

For information about the types of machine learning transforms, see Creating Machine Learning Transforms.

pub fn find_matches_parameters(&self) -> Option<&FindMatchesParameters>

The parameters for the find matches algorithm.

impl TransformParameters

pub fn builder() -> Builder

Creates a new builder-style object to manufacture TransformParameters

Trait Implementations

impl Clone for TransformParameters

fn clone(&self) -> TransformParameters

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TransformParameters

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

Formats the value using the given formatter.

impl PartialEq<TransformParameters> for TransformParameters

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

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

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

This method tests for !=.

impl StructuralPartialEq for TransformParameters