class Aws::CloudWatchEvidently::Types::CreateExperimentRequest

@see docs.aws.amazon.com/goto/WebAPI/evidently-2021-02-01/CreateExperimentRequest AWS API Documentation
@return [Array<Types::TreatmentConfig>]
feature variation used in the experiment.
An array of structures that describe the configuration of each
@!attribute [rw] treatments
@return [Hash<String,String>]
<p>You can associate as many as 50 tags with an experiment.</p> <p>For more information, see <a href=“docs.aws.amazon.com/general/latest/gr/aws_tagging.html”>Tagging Amazon Web Services resources</a>.</p>
interpreted strictly as strings of characters.
Tags don’t have any semantic meaning to Amazon Web Services and are
values.
permission to access or change only resources with certain tag
also use them to scope user permissions by granting a user
Tags can help you organize and categorize your resources. You can
Assigns one or more tags (key-value pairs) to the experiment.
@!attribute [rw] tags
@return [Integer]
specify 10,000 to allocate 10% of the available audience.
This is represented in thousandths of a percent. For example,
overrides or current launches of this feature.
is the total audience minus the audience that you have allocated to
this experiment, in thousandths of a percent. The available audience
The portion of the available audience that you want to allocate to
@!attribute [rw] sampling_rate
@return [String]
Evidently uses the experiment name as the ‘randomizationSalt`.
entity ID and `randomizationSalt`. If you omit `randomizationSalt`,
session is served. This randomization ID is a combination of the
it must use a randomization ID to determine which variation the user
When Evidently assigns a particular user session to an experiment,
@!attribute [rw] randomization_salt
@return [String]
experiment in.
The name or ARN of the project that you want to create the new
@!attribute [rw] project
@return [Types::OnlineAbConfig]
much experiment traffic is allocated to each variation.
comparison with other variations. This structure also specifies how
use as the “control” version. tThe “control” version is used for
A structure that contains the configuration of which variation to
@!attribute [rw] online_ab_config
@return [String]
A name for the new experiment.
@!attribute [rw] name
@return [Array<Types::MetricGoalConfig>]
the goal.
experiment, and whether a higher or lower value for each metric is
An array of structures that defines the metrics used for the
@!attribute [rw] metric_goals
@return [String]
An optional description of the experiment.
@!attribute [rw] description
}
],
},
variation: “VariationName”, # required
name: “TreatmentName”, # required
feature: “FeatureName”, # required
description: “Description”,
{
treatments: [ # required
},
“TagKey” => “TagValue”,
tags: {
sampling_rate: 1,
randomization_salt: “RandomizationSalt”,
project: “ProjectRef”, # required
},
},
“TreatmentName” => 1,
treatment_weights: {
control_treatment_name: “TreatmentName”,
online_ab_config: {
name: “ExperimentName”, # required
],
},
},
value_key: “JsonPath”,
unit_label: “MetricUnitLabel”,
name: “CwDimensionSafeName”,
event_pattern: “MetricDefinitionConfigEventPatternString”,
entity_id_key: “JsonPath”,
metric_definition: { # required
desired_change: “INCREASE”, # accepts INCREASE, DECREASE
{
metric_goals: [ # required
description: “Description”,
{
data as a hash:
@note When making an API call, you may pass CreateExperimentRequest