[ aws . personalize ]

describe-recommender

Description

Describes the given recommender, including its status.

A recommender can be in one of the following states:

  • CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

  • STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE

  • DELETE PENDING > DELETE IN_PROGRESS

When the status is CREATE FAILED , the response includes the failureReason key, which describes why.

The modelMetrics key is null when the recommender is being created or deleted.

For more information on recommenders, see CreateRecommender .

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  describe-recommender
--recommender-arn <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--recommender-arn (string)

The Amazon Resource Name (ARN) of the recommender to describe.

--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.

See ‘aws help’ for descriptions of global parameters.

Output

recommender -> (structure)

The properties of the recommender.

recommenderArn -> (string)

The Amazon Resource Name (ARN) of the recommender.

datasetGroupArn -> (string)

The Amazon Resource Name (ARN) of the Domain dataset group that contains the recommender.

name -> (string)

The name of the recommender.

recipeArn -> (string)

The Amazon Resource Name (ARN) of the recipe (Domain dataset group use case) that the recommender was created for.

recommenderConfig -> (structure)

The configuration details of the recommender.

itemExplorationConfig -> (map)

Specifies the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff , you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide itemExplorationConfig data only if your recommenders generate personalized recommendations for a user (not popular items or similar items).

key -> (string)

value -> (string)

minRecommendationRequestsPerSecond -> (integer)

Specifies the requested minimum provisioned recommendation requests per second that Amazon Personalize will support.

creationDateTime -> (timestamp)

The date and time (in Unix format) that the recommender was created.

lastUpdatedDateTime -> (timestamp)

The date and time (in Unix format) that the recommender was last updated.

status -> (string)

The status of the recommender.

A recommender can be in one of the following states:

  • CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

  • STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE

  • DELETE PENDING > DELETE IN_PROGRESS

failureReason -> (string)

If a recommender fails, the reason behind the failure.

latestRecommenderUpdate -> (structure)

Provides a summary of the latest updates to the recommender.

recommenderConfig -> (structure)

The configuration details of the recommender update.

itemExplorationConfig -> (map)

Specifies the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff , you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide itemExplorationConfig data only if your recommenders generate personalized recommendations for a user (not popular items or similar items).

key -> (string)

value -> (string)

minRecommendationRequestsPerSecond -> (integer)

Specifies the requested minimum provisioned recommendation requests per second that Amazon Personalize will support.

creationDateTime -> (timestamp)

The date and time (in Unix format) that the recommender update was created.

lastUpdatedDateTime -> (timestamp)

The date and time (in Unix time) that the recommender update was last updated.

status -> (string)

The status of the recommender update.

A recommender can be in one of the following states:

  • CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

  • STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE

  • DELETE PENDING > DELETE IN_PROGRESS

failureReason -> (string)

If a recommender update fails, the reason behind the failure.

modelMetrics -> (map)

Provides evaluation metrics that help you determine the performance of a recommender. For more information, see Evaluating a recommender .

key -> (string)

value -> (double)