Struct aws_sdk_evidently::operation::get_experiment_results::builders::GetExperimentResultsFluentBuilder

pub struct GetExperimentResultsFluentBuilder { /* private fields */ }

Fluent builder constructing a request to GetExperimentResults.

Retrieves the results of a running or completed experiment. No results are available until there have been 100 events for each variation and at least 10 minutes have passed since the start of the experiment. To increase the statistical power, Evidently performs an additional offline p-value analysis at the end of the experiment. Offline p-value analysis can detect statistical significance in some cases where the anytime p-values used during the experiment do not find statistical significance.

Experiment results are available up to 63 days after the start of the experiment. They are not available after that because of CloudWatch data retention policies.

Implementations

impl GetExperimentResultsFluentBuilder

pub fn as_input(&self) -> &GetExperimentResultsInputBuilder

Access the GetExperimentResults as a reference.

pub async fn send( self ) -> Result<GetExperimentResultsOutput, SdkError<GetExperimentResultsError, 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.

pub fn customize( self ) -> CustomizableOperation<GetExperimentResultsOutput, GetExperimentResultsError, Self>

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

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

The name or ARN of the project that contains the experiment that you want to see the results of.

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

The name or ARN of the project that contains the experiment that you want to see the results of.

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

The name or ARN of the project that contains the experiment that you want to see the results of.

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

The name of the experiment to retrieve the results of.

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

The name of the experiment to retrieve the results of.

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

The name of the experiment to retrieve the results of.

pub fn start_time(self, input: DateTime) -> Self

The date and time that the experiment started.

pub fn set_start_time(self, input: Option<DateTime>) -> Self

The date and time that the experiment started.

pub fn get_start_time(&self) -> &Option<DateTime>

The date and time that the experiment started.

pub fn end_time(self, input: DateTime) -> Self

The date and time that the experiment ended, if it is completed. This must be no longer than 30 days after the experiment start time.

pub fn set_end_time(self, input: Option<DateTime>) -> Self

The date and time that the experiment ended, if it is completed. This must be no longer than 30 days after the experiment start time.

pub fn get_end_time(&self) -> &Option<DateTime>

The date and time that the experiment ended, if it is completed. This must be no longer than 30 days after the experiment start time.

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

Appends an item to metricNames.

To override the contents of this collection use set_metric_names.

The names of the experiment metrics that you want to see the results of.

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

The names of the experiment metrics that you want to see the results of.

pub fn get_metric_names(&self) -> &Option<Vec<String>>

The names of the experiment metrics that you want to see the results of.

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

Appends an item to treatmentNames.

To override the contents of this collection use set_treatment_names.

The names of the experiment treatments that you want to see the results for.

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

The names of the experiment treatments that you want to see the results for.

pub fn get_treatment_names(&self) -> &Option<Vec<String>>

The names of the experiment treatments that you want to see the results for.

pub fn base_stat(self, input: ExperimentBaseStat) -> Self

The statistic used to calculate experiment results. Currently the only valid value is mean, which uses the mean of the collected values as the statistic.

pub fn set_base_stat(self, input: Option<ExperimentBaseStat>) -> Self

The statistic used to calculate experiment results. Currently the only valid value is mean, which uses the mean of the collected values as the statistic.

pub fn get_base_stat(&self) -> &Option<ExperimentBaseStat>

The statistic used to calculate experiment results. Currently the only valid value is mean, which uses the mean of the collected values as the statistic.

pub fn result_stats(self, input: ExperimentResultRequestType) -> Self

Appends an item to resultStats.

To override the contents of this collection use set_result_stats.

The statistics that you want to see in the returned results.

• PValue specifies to use p-values for the results. A p-value is used in hypothesis testing to measure how often you are willing to make a mistake in rejecting the null hypothesis. A general practice is to reject the null hypothesis and declare that the results are statistically significant when the p-value is less than 0.05.

• ConfidenceInterval specifies a confidence interval for the results. The confidence interval represents the range of values for the chosen metric that is likely to contain the true difference between the baseStat of a variation and the baseline. Evidently returns the 95% confidence interval.

• TreatmentEffect is the difference in the statistic specified by the baseStat parameter between each variation and the default variation.

• BaseStat returns the statistical values collected for the metric for each variation. The statistic uses the same statistic specified in the baseStat parameter. Therefore, if baseStat is mean, this returns the mean of the values collected for each variation.

pub fn set_result_stats( self, input: Option<Vec<ExperimentResultRequestType>> ) -> Self

The statistics that you want to see in the returned results.

• PValue specifies to use p-values for the results. A p-value is used in hypothesis testing to measure how often you are willing to make a mistake in rejecting the null hypothesis. A general practice is to reject the null hypothesis and declare that the results are statistically significant when the p-value is less than 0.05.

• ConfidenceInterval specifies a confidence interval for the results. The confidence interval represents the range of values for the chosen metric that is likely to contain the true difference between the baseStat of a variation and the baseline. Evidently returns the 95% confidence interval.

• TreatmentEffect is the difference in the statistic specified by the baseStat parameter between each variation and the default variation.

• BaseStat returns the statistical values collected for the metric for each variation. The statistic uses the same statistic specified in the baseStat parameter. Therefore, if baseStat is mean, this returns the mean of the values collected for each variation.

pub fn get_result_stats(&self) -> &Option<Vec<ExperimentResultRequestType>>

The statistics that you want to see in the returned results.

• PValue specifies to use p-values for the results. A p-value is used in hypothesis testing to measure how often you are willing to make a mistake in rejecting the null hypothesis. A general practice is to reject the null hypothesis and declare that the results are statistically significant when the p-value is less than 0.05.

• ConfidenceInterval specifies a confidence interval for the results. The confidence interval represents the range of values for the chosen metric that is likely to contain the true difference between the baseStat of a variation and the baseline. Evidently returns the 95% confidence interval.

• TreatmentEffect is the difference in the statistic specified by the baseStat parameter between each variation and the default variation.

• BaseStat returns the statistical values collected for the metric for each variation. The statistic uses the same statistic specified in the baseStat parameter. Therefore, if baseStat is mean, this returns the mean of the values collected for each variation.

pub fn report_names(self, input: ExperimentReportName) -> Self

Appends an item to reportNames.

To override the contents of this collection use set_report_names.

The names of the report types that you want to see. Currently, BayesianInference is the only valid value.

pub fn set_report_names(self, input: Option<Vec<ExperimentReportName>>) -> Self

The names of the report types that you want to see. Currently, BayesianInference is the only valid value.

pub fn get_report_names(&self) -> &Option<Vec<ExperimentReportName>>

The names of the report types that you want to see. Currently, BayesianInference is the only valid value.

pub fn period(self, input: i64) -> Self

In seconds, the amount of time to aggregate results together.

pub fn set_period(self, input: Option<i64>) -> Self

In seconds, the amount of time to aggregate results together.

pub fn get_period(&self) -> &Option<i64>

In seconds, the amount of time to aggregate results together.

Trait Implementations

impl Clone for GetExperimentResultsFluentBuilder

fn clone(&self) -> GetExperimentResultsFluentBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GetExperimentResultsFluentBuilder

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

Formats the value using the given formatter.