pub struct CreateMetricAttributionFluentBuilder { /* private fields */ }
Expand description

Fluent builder constructing a request to CreateMetricAttribution.

Creates a metric attribution. A metric attribution creates reports on the data that you import into Amazon Personalize. Depending on how you imported the data, you can view reports in Amazon CloudWatch or Amazon S3. For more information, see Measuring impact of recommendations.

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impl CreateMetricAttributionFluentBuilder

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pub fn as_input(&self) -> &CreateMetricAttributionInputBuilder

Access the CreateMetricAttribution as a reference.

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pub async fn send( self ) -> Result<CreateMetricAttributionOutput, SdkError<CreateMetricAttributionError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

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pub fn customize( self ) -> CustomizableOperation<CreateMetricAttributionOutput, CreateMetricAttributionError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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pub fn name(self, input: impl Into<String>) -> Self

A name for the metric attribution.

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pub fn set_name(self, input: Option<String>) -> Self

A name for the metric attribution.

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pub fn get_name(&self) -> &Option<String>

A name for the metric attribution.

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pub fn dataset_group_arn(self, input: impl Into<String>) -> Self

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

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pub fn set_dataset_group_arn(self, input: Option<String>) -> Self

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

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pub fn get_dataset_group_arn(&self) -> &Option<String>

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

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pub fn metrics(self, input: MetricAttribute) -> Self

Appends an item to metrics.

To override the contents of this collection use set_metrics.

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).

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pub fn set_metrics(self, input: Option<Vec<MetricAttribute>>) -> Self

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).

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pub fn get_metrics(&self) -> &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).

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pub fn metrics_output_config(self, input: MetricAttributionOutput) -> Self

The output configuration details for the metric attribution.

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pub fn set_metrics_output_config( self, input: Option<MetricAttributionOutput> ) -> Self

The output configuration details for the metric attribution.

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

The output configuration details for the metric attribution.

Trait Implementations§

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impl Clone for CreateMetricAttributionFluentBuilder

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fn clone(&self) -> CreateMetricAttributionFluentBuilder

Returns a copy of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for CreateMetricAttributionFluentBuilder

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

Formats the value using the given formatter. Read more

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