Interface CfnExperimentProps
- All Superinterfaces:
software.amazon.jsii.JsiiSerializable
- All Known Implementing Classes:
CfnExperimentProps.Jsii$Proxy
CfnExperiment
.
Example:
// The code below shows an example of how to instantiate this type. // The values are placeholders you should change. import software.amazon.awscdk.services.evidently.*; CfnExperimentProps cfnExperimentProps = CfnExperimentProps.builder() .metricGoals(List.of(MetricGoalObjectProperty.builder() .desiredChange("desiredChange") .entityIdKey("entityIdKey") .metricName("metricName") .valueKey("valueKey") // the properties below are optional .eventPattern("eventPattern") .unitLabel("unitLabel") .build())) .name("name") .onlineAbConfig(OnlineAbConfigObjectProperty.builder() .controlTreatmentName("controlTreatmentName") .treatmentWeights(List.of(TreatmentToWeightProperty.builder() .splitWeight(123) .treatment("treatment") .build())) .build()) .project("project") .treatments(List.of(TreatmentObjectProperty.builder() .feature("feature") .treatmentName("treatmentName") .variation("variation") // the properties below are optional .description("description") .build())) // the properties below are optional .description("description") .randomizationSalt("randomizationSalt") .removeSegment(false) .runningStatus(RunningStatusObjectProperty.builder() .status("status") // the properties below are optional .analysisCompleteTime("analysisCompleteTime") .desiredState("desiredState") .reason("reason") .build()) .samplingRate(123) .segment("segment") .tags(List.of(CfnTag.builder() .key("key") .value("value") .build())) .build();
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Nested Class Summary
Nested ClassesModifier and TypeInterfaceDescriptionstatic final class
A builder forCfnExperimentProps
static final class
An implementation forCfnExperimentProps
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Method Summary
Modifier and TypeMethodDescriptionstatic CfnExperimentProps.Builder
builder()
default String
An optional description of the experiment.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.getName()
A name for the new experiment.A structure that contains the configuration of which variation to use as the "control" version.The name or the ARN of the project where this experiment is to be created.default String
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.default Object
Set this totrue
to remove the segment that is associated with this experiment.default Object
A structure that you can use to start and stop the experiment.default Number
The portion of the available audience that you want to allocate to this experiment, in thousandths of a percent.default String
Specifies an audience segment to use in the experiment.getTags()
Assigns one or more tags (key-value pairs) to the experiment.An array of structures that describe the configuration of each feature variation used in the experiment.Methods inherited from interface software.amazon.jsii.JsiiSerializable
$jsii$toJson
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Method Details
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getMetricGoals
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.You can use up to three metrics in an experiment.
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getName
A name for the new experiment.- See Also:
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getOnlineAbConfig
A structure that contains the configuration of which variation to use as the "control" version.The "control" version is used for comparison with other variations. This structure also specifies how much experiment traffic is allocated to each variation.
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getProject
The name or the ARN of the project where this experiment is to be created.- See Also:
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getTreatments
An array of structures that describe the configuration of each feature variation used in the experiment.- See Also:
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getDescription
An optional description of the experiment.- See Also:
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getRandomizationSalt
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 omitrandomizationSalt
, Evidently uses the experiment name as therandomizationSalt
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getRemoveSegment
Set this totrue
to remove the segment that is associated with this experiment.You can't use this parameter if the experiment is currently running.
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getRunningStatus
A structure that you can use to start and stop the experiment.- See Also:
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getSamplingRate
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.
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getSegment
Specifies an audience segment to use in the experiment.When a segment is used in an experiment, only user sessions that match the segment pattern are used in the experiment.
For more information, see Segment rule pattern syntax .
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getTags
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 AWS and are interpreted strictly as strings of characters.
You can associate as many as 50 tags with an experiment.
For more information, see Tagging AWS resources .
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builder
- Returns:
- a
CfnExperimentProps.Builder
ofCfnExperimentProps
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