get-recommender-configuration¶
Description¶
Retrieves information about an Amazon Pinpoint configuration for a recommender model.
See also: AWS API Documentation
Synopsis¶
get-recommender-configuration
--recommender-id <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]
Options¶
--recommender-id (string)
The unique identifier for the recommender model configuration. This identifier is displayed as the Recommender ID on the Amazon Pinpoint console.
--cli-input-json | --cli-input-yaml (string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.
--generate-cli-skeleton (string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.
Global Options¶
--debug (boolean)
Turn on debug logging.
--endpoint-url (string)
Override command’s default URL with the given URL.
--no-verify-ssl (boolean)
By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate (boolean)
Disable automatic pagination.
--output (string)
The formatting style for command output.
- json
- text
- table
- yaml
- yaml-stream
--query (string)
A JMESPath query to use in filtering the response data.
--profile (string)
Use a specific profile from your credential file.
--region (string)
The region to use. Overrides config/env settings.
--version (string)
Display the version of this tool.
--color (string)
Turn on/off color output.
- on
- off
- auto
--no-sign-request (boolean)
Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle (string)
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout (int)
The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout (int)
The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.
--cli-binary-format (string)
The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb:// will always be treated as binary and use the file contents directly regardless of the cli-binary-format setting. When using file:// the file contents will need to properly formatted for the configured cli-binary-format.
- base64
- raw-in-base64-out
--no-cli-pager (boolean)
Disable cli pager for output.
--cli-auto-prompt (boolean)
Automatically prompt for CLI input parameters.
--no-cli-auto-prompt (boolean)
Disable automatically prompt for CLI input parameters.
Output¶
RecommenderConfigurationResponse -> (structure)
Provides information about Amazon Pinpoint configuration settings for retrieving and processing data from a recommender model.
Attributes -> (map)
A map that defines 1-10 custom endpoint or user attributes, depending on the value for the RecommendationProviderIdType property. Each of these attributes temporarily stores a recommended item that’s retrieved from the recommender model and sent to an AWS Lambda function for additional processing. Each attribute can be used as a message variable in a message template.
This value is null if the configuration doesn’t invoke an AWS Lambda function (RecommendationTransformerUri) to perform additional processing of recommendation data.
key -> (string)
value -> (string)
CreationDate -> (string)
The date, in extended ISO 8601 format, when the configuration was created for the recommender model.Description -> (string)
The custom description of the configuration for the recommender model.Id -> (string)
The unique identifier for the recommender model configuration.LastModifiedDate -> (string)
The date, in extended ISO 8601 format, when the configuration for the recommender model was last modified.Name -> (string)
The custom name of the configuration for the recommender model.RecommendationProviderIdType -> (string)
The type of Amazon Pinpoint ID that’s associated with unique user IDs in the recommender model. This value enables the model to use attribute and event data that’s specific to a particular endpoint or user in an Amazon Pinpoint application. Possible values are:
- PINPOINT_ENDPOINT_ID - Each user in the model is associated with a particular endpoint in Amazon Pinpoint. The data is correlated based on endpoint IDs in Amazon Pinpoint. This is the default value.
- PINPOINT_USER_ID - Each user in the model is associated with a particular user and endpoint in Amazon Pinpoint. The data is correlated based on user IDs in Amazon Pinpoint. If this value is specified, an endpoint definition in Amazon Pinpoint has to specify both a user ID (UserId) and an endpoint ID. Otherwise, messages won’t be sent to the user’s endpoint.
RecommendationProviderRoleArn -> (string)
The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that authorizes Amazon Pinpoint to retrieve recommendation data from the recommender model.RecommendationProviderUri -> (string)
The Amazon Resource Name (ARN) of the recommender model that Amazon Pinpoint retrieves the recommendation data from. This value is the ARN of an Amazon Personalize campaign.RecommendationTransformerUri -> (string)
The name or Amazon Resource Name (ARN) of the AWS Lambda function that Amazon Pinpoint invokes to perform additional processing of recommendation data that it retrieves from the recommender model.RecommendationsDisplayName -> (string)
The custom display name for the standard endpoint or user attribute (RecommendationItems) that temporarily stores recommended items for each endpoint or user, depending on the value for the RecommendationProviderIdType property. This name appears in the Attribute finder of the template editor on the Amazon Pinpoint console.
This value is null if the configuration doesn’t invoke an AWS Lambda function (RecommendationTransformerUri) to perform additional processing of recommendation data.
RecommendationsPerMessage -> (integer)
The number of recommended items that are retrieved from the model for each endpoint or user, depending on the value for the RecommendationProviderIdType property. This number determines how many recommended items are available for use in message variables.