cloudwatchevidently function

Amazon CloudWatch Evidently

You can use Amazon CloudWatch Evidently to safely validate new features by serving them to a specified percentage of your users while you roll out the feature. You can monitor the performance of the new feature to help you decide when to ramp up traffic to your users. This helps you reduce risk and identify unintended consequences before you fully launch the feature.

You can also conduct A/B experiments to make feature design decisions based on evidence and data. An experiment can test as many as five variations at once. Evidently collects experiment data and analyzes it using statistical methods. It also provides clear recommendations about which variations perform better. You can test both user-facing features and backend features.

cloudwatchevidently(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

• config: Optional configuration of credentials, endpoint, and/or region.

  • credentials :

    • creds :

      • access_key_id : AWS access key ID
      • secret_access_key : AWS secret access key
      • session_token : AWS temporary session token

    • profile : The name of a profile to use. If not given, then the default profile is used.

    • anonymous : Set anonymous credentials.

  • endpoint : The complete URL to use for the constructed client.

  • region : The AWS Region used in instantiating the client.

  • close_connection : Immediately close all HTTP connections.

  • timeout : The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style : Set this to true to force the request to use path-style addressing, i.e. http://s3.amazonaws.com/BUCKET/KEY.

  • sts_regional_endpoint : Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

• credentials: Optional credentials shorthand for the config parameter

  • creds :

    • access_key_id : AWS access key ID
    • secret_access_key : AWS secret access key
    • session_token : AWS temporary session token

  • profile : The name of a profile to use. If not given, then the default profile is used.

  • anonymous : Set anonymous credentials.

• endpoint: Optional shorthand for complete URL to use for the constructed client.

• region: Optional shorthand for AWS Region used in instantiating the client.

Returns

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- cloudwatchevidently(
  config = list(
    credentials = list(
 creds = list(
   access_key_id = "string",
   secret_access_key = "string",
   session_token = "string"
 ),
 profile = "string",
 anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
 access_key_id = "string",
 secret_access_key = "string",
 session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

batch_evaluate_feature	This operation assigns feature variation to user sessions
create_experiment	Creates an Evidently experiment
create_feature	Creates an Evidently feature that you want to launch or test
create_launch	Creates a launch of a given feature
create_project	Creates a project, which is the logical object in Evidently that can contain features, launches, and experiments
create_segment	Use this operation to define a segment of your audience
delete_experiment	Deletes an Evidently experiment
delete_feature	Deletes an Evidently feature
delete_launch	Deletes an Evidently launch
delete_project	Deletes an Evidently project
delete_segment	Deletes a segment
evaluate_feature	This operation assigns a feature variation to one given user session
get_experiment	Returns the details about one experiment
get_experiment_results	Retrieves the results of a running or completed experiment
get_feature	Returns the details about one feature
get_launch	Returns the details about one launch
get_project	Returns the details about one launch
get_segment	Returns information about the specified segment
list_experiments	Returns configuration details about all the experiments in the specified project
list_features	Returns configuration details about all the features in the specified project
list_launches	Returns configuration details about all the launches in the specified project
list_projects	Returns configuration details about all the projects in the current Region in your account
list_segment_references	Use this operation to find which experiments or launches are using a specified segment
list_segments	Returns a list of audience segments that you have created in your account in this Region
list_tags_for_resource	Displays the tags associated with an Evidently resource
put_project_events	Sends performance events to Evidently
start_experiment	Starts an existing experiment
start_launch	Starts an existing launch
stop_experiment	Stops an experiment that is currently running
stop_launch	Stops a launch that is currently running
tag_resource	Assigns one or more tags (key-value pairs) to the specified CloudWatch Evidently resource
test_segment_pattern	Use this operation to test a rules pattern that you plan to use to create an audience segment
untag_resource	Removes one or more tags from the specified resource
update_experiment	Updates an Evidently experiment
update_feature	Updates an existing feature
update_launch	Updates a launch of a given feature
update_project	Updates the description of an existing project
update_project_data_delivery	Updates the data storage options for this project

Examples

## Not run:

svc <- cloudwatchevidently()
svc$batch_evaluate_feature(
  Foo = 123
)
## End(Not run)