Struct aws_sdk_evidently::input::get_experiment_results_input::Builder

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

A builder for GetExperimentResultsInput

Implementations

impl Builder

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 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 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 end_time(self, input: DateTime) -> Self

The date and time that the experiment ended, if it is completed.

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

The date and time that the experiment ended, if it is completed.

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

Appends an item to metric_names.

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

Appends an item to treatment_names.

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 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 result_stats(self, input: ExperimentResultRequestType) -> Self

Appends an item to result_stats.

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 report_names(self, input: ExperimentReportName) -> Self

Appends an item to report_names.

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 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 build(self) -> Result<GetExperimentResultsInput, BuildError>

Consumes the builder and constructs a GetExperimentResultsInput

Trait Implementations

impl Clone for Builder

fn clone(&self) -> Builder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Builder

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

Formats the value using the given formatter.

impl Default for Builder

fn default() -> Builder

Returns the “default value” for a type.

impl PartialEq<Builder> for Builder

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

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

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

This method tests for !=.

impl StructuralPartialEq for Builder