Struct aws_sdk_personalize::operation::create_metric_attribution::CreateMetricAttributionInput

#[non_exhaustive]
pub struct CreateMetricAttributionInput {
    pub name: Option<String>,
    pub dataset_group_arn: Option<String>,
    pub metrics: Option<Vec<MetricAttribute>>,
    pub metrics_output_config: Option<MetricAttributionOutput>,
}

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.

name: Option<String>

A name for the metric attribution.

dataset_group_arn: Option<String>

The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.

metrics: Option<Vec<MetricAttribute>>

A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to track and a function. Available functions are SUM() or SAMPLECOUNT(). For SUM() functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example SUM(Items.PRICE).

metrics_output_config: Option<MetricAttributionOutput>

The output configuration details for the metric attribution.

Implementations

impl CreateMetricAttributionInput

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

A name for the metric attribution.

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

The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.

pub fn metrics(&self) -> &[MetricAttribute]

A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to track and a function. Available functions are SUM() or SAMPLECOUNT(). For SUM() functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example SUM(Items.PRICE).

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .metrics.is_none().

pub fn metrics_output_config(&self) -> Option<&MetricAttributionOutput>

The output configuration details for the metric attribution.

impl CreateMetricAttributionInput

pub fn builder() -> CreateMetricAttributionInputBuilder

Creates a new builder-style object to manufacture CreateMetricAttributionInput.

Trait Implementations

impl Clone for CreateMetricAttributionInput

fn clone(&self) -> CreateMetricAttributionInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateMetricAttributionInput

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

Formats the value using the given formatter.

impl PartialEq for CreateMetricAttributionInput

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