Struct aws_sdk_evidently::input::create_experiment_input::Builder
source · [−]#[non_exhaustive]pub struct Builder { /* private fields */ }
Expand description
A builder for CreateExperimentInput
Implementations
sourceimpl Builder
impl Builder
sourcepub fn project(self, input: impl Into<String>) -> Self
pub fn project(self, input: impl Into<String>) -> Self
The name or ARN of the project that you want to create the new experiment in.
sourcepub fn set_project(self, input: Option<String>) -> Self
pub fn set_project(self, input: Option<String>) -> Self
The name or ARN of the project that you want to create the new experiment in.
sourcepub fn description(self, input: impl Into<String>) -> Self
pub fn description(self, input: impl Into<String>) -> Self
An optional description of the experiment.
sourcepub fn set_description(self, input: Option<String>) -> Self
pub fn set_description(self, input: Option<String>) -> Self
An optional description of the experiment.
sourcepub fn treatments(self, input: TreatmentConfig) -> Self
pub fn treatments(self, input: TreatmentConfig) -> Self
Appends an item to treatments
.
To override the contents of this collection use set_treatments
.
An array of structures that describe the configuration of each feature variation used in the experiment.
sourcepub fn set_treatments(self, input: Option<Vec<TreatmentConfig>>) -> Self
pub fn set_treatments(self, input: Option<Vec<TreatmentConfig>>) -> Self
An array of structures that describe the configuration of each feature variation used in the experiment.
sourcepub fn metric_goals(self, input: MetricGoalConfig) -> Self
pub fn metric_goals(self, input: MetricGoalConfig) -> Self
Appends an item to metric_goals
.
To override the contents of this collection use set_metric_goals
.
An array of structures that defines the metrics used for the experiment, and whether a higher or lower value for each metric is the goal.
sourcepub fn set_metric_goals(self, input: Option<Vec<MetricGoalConfig>>) -> Self
pub fn set_metric_goals(self, input: Option<Vec<MetricGoalConfig>>) -> Self
An array of structures that defines the metrics used for the experiment, and whether a higher or lower value for each metric is the goal.
sourcepub fn randomization_salt(self, input: impl Into<String>) -> Self
pub fn randomization_salt(self, input: impl Into<String>) -> Self
When Evidently assigns a particular user session to an experiment, it must use a randomization ID to determine which variation the user session is served. This randomization ID is a combination of the entity ID and randomizationSalt
. If you omit randomizationSalt
, Evidently uses the experiment name as the randomizationSalt
.
sourcepub fn set_randomization_salt(self, input: Option<String>) -> Self
pub fn set_randomization_salt(self, input: Option<String>) -> Self
When Evidently assigns a particular user session to an experiment, it must use a randomization ID to determine which variation the user session is served. This randomization ID is a combination of the entity ID and randomizationSalt
. If you omit randomizationSalt
, Evidently uses the experiment name as the randomizationSalt
.
sourcepub fn sampling_rate(self, input: i64) -> Self
pub fn sampling_rate(self, input: i64) -> Self
The portion of the available audience that you want to allocate to this experiment, in thousandths of a percent. The available audience is the total audience minus the audience that you have allocated to overrides or current launches of this feature.
This is represented in thousandths of a percent. For example, specify 10,000 to allocate 10% of the available audience.
sourcepub fn set_sampling_rate(self, input: Option<i64>) -> Self
pub fn set_sampling_rate(self, input: Option<i64>) -> Self
The portion of the available audience that you want to allocate to this experiment, in thousandths of a percent. The available audience is the total audience minus the audience that you have allocated to overrides or current launches of this feature.
This is represented in thousandths of a percent. For example, specify 10,000 to allocate 10% of the available audience.
sourcepub fn online_ab_config(self, input: OnlineAbConfig) -> Self
pub fn online_ab_config(self, input: OnlineAbConfig) -> Self
A structure that contains the configuration of which variation to use as the "control" version. tThe "control" version is used for comparison with other variations. This structure also specifies how much experiment traffic is allocated to each variation.
sourcepub fn set_online_ab_config(self, input: Option<OnlineAbConfig>) -> Self
pub fn set_online_ab_config(self, input: Option<OnlineAbConfig>) -> Self
A structure that contains the configuration of which variation to use as the "control" version. tThe "control" version is used for comparison with other variations. This structure also specifies how much experiment traffic is allocated to each variation.
Adds a key-value pair to tags
.
To override the contents of this collection use set_tags
.
Assigns one or more tags (key-value pairs) to the experiment.
Tags can help you organize and categorize your resources. You can also use them to scope user permissions by granting a user permission to access or change only resources with certain tag values.
Tags don't have any semantic meaning to Amazon Web Services and are interpreted strictly as strings of characters.
You can associate as many as 50 tags with an experiment.
For more information, see Tagging Amazon Web Services resources.
Assigns one or more tags (key-value pairs) to the experiment.
Tags can help you organize and categorize your resources. You can also use them to scope user permissions by granting a user permission to access or change only resources with certain tag values.
Tags don't have any semantic meaning to Amazon Web Services and are interpreted strictly as strings of characters.
You can associate as many as 50 tags with an experiment.
For more information, see Tagging Amazon Web Services resources.
sourcepub fn build(self) -> Result<CreateExperimentInput, BuildError>
pub fn build(self) -> Result<CreateExperimentInput, BuildError>
Consumes the builder and constructs a CreateExperimentInput
Trait Implementations
impl StructuralPartialEq for Builder
Auto Trait Implementations
impl RefUnwindSafe for Builder
impl Send for Builder
impl Sync for Builder
impl Unpin for Builder
impl UnwindSafe for Builder
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcepub fn borrow_mut(&mut self) -> &mut T
pub fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<T> Instrument for T
impl<T> Instrument for T
sourcefn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
sourcefn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
sourceimpl<T> ToOwned for T where
T: Clone,
impl<T> ToOwned for T where
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
sourcepub fn to_owned(&self) -> T
pub fn to_owned(&self) -> T
Creates owned data from borrowed data, usually by cloning. Read more
sourcepub fn clone_into(&self, target: &mut T)
pub fn clone_into(&self, target: &mut T)
toowned_clone_into
)Uses borrowed data to replace owned data, usually by cloning. Read more
sourceimpl<T> WithSubscriber for T
impl<T> WithSubscriber for T
sourcefn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
sourcefn with_current_subscriber(self) -> WithDispatch<Self>
fn with_current_subscriber(self) -> WithDispatch<Self>
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more