Struct AudienceQualityMetricsBuilder 

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

A builder for AudienceQualityMetrics.

Implementations

impl AudienceQualityMetricsBuilder

pub fn relevance_metrics(self, input: RelevanceMetric) -> Self

Appends an item to relevance_metrics.

To override the contents of this collection use set_relevance_metrics.

The relevance scores of the generated audience.

pub fn set_relevance_metrics(self, input: Option<Vec<RelevanceMetric>>) -> Self

The relevance scores of the generated audience.

pub fn get_relevance_metrics(&self) -> &Option<Vec<RelevanceMetric>>

The relevance scores of the generated audience.

pub fn recall_metric(self, input: f64) -> Self

The recall score of the generated audience. Recall is the percentage of the most similar users (by default, the most similar 20%) from a sample of the training data that are included in the seed audience by the audience generation job. Values range from 0-1, larger values indicate a better audience. A recall value approximately equal to the maximum bin size indicates that the audience model is equivalent to random selection.

pub fn set_recall_metric(self, input: Option<f64>) -> Self

The recall score of the generated audience. Recall is the percentage of the most similar users (by default, the most similar 20%) from a sample of the training data that are included in the seed audience by the audience generation job. Values range from 0-1, larger values indicate a better audience. A recall value approximately equal to the maximum bin size indicates that the audience model is equivalent to random selection.

pub fn get_recall_metric(&self) -> &Option<f64>

The recall score of the generated audience. Recall is the percentage of the most similar users (by default, the most similar 20%) from a sample of the training data that are included in the seed audience by the audience generation job. Values range from 0-1, larger values indicate a better audience. A recall value approximately equal to the maximum bin size indicates that the audience model is equivalent to random selection.

pub fn build(self) -> Result<AudienceQualityMetrics, BuildError>

Consumes the builder and constructs a AudienceQualityMetrics. This method will fail if any of the following fields are not set:

• relevance_metrics

Trait Implementations

impl Clone for AudienceQualityMetricsBuilder

fn clone(&self) -> AudienceQualityMetricsBuilder

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AudienceQualityMetricsBuilder

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

Formats the value using the given formatter.

impl Default for AudienceQualityMetricsBuilder

fn default() -> AudienceQualityMetricsBuilder

Returns the “default value” for a type.

impl PartialEq for AudienceQualityMetricsBuilder

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for AudienceQualityMetricsBuilder