Table Of Contents

Feedback

User Guide

First time using the AWS CLI? See the User Guide for help getting started.

Note: You are viewing the documentation for an older major version of the AWS CLI (version 1).

AWS CLI version 2, the latest major version of AWS CLI, is now stable and recommended for general use. To view this page for the AWS CLI version 2, click here. For more information see the AWS CLI version 2 installation instructions and migration guide.

[ aws . personalize ]

describe-recipe

Description

Describes a recipe.

A recipe contains three items:

  • An algorithm that trains a model.
  • Hyperparameters that govern the training.
  • Feature transformation information for modifying the input data before training.

Amazon Personalize provides a set of predefined recipes. You specify a recipe when you create a solution with the CreateSolution API. CreateSolution trains a model by using the algorithm in the specified recipe and a training dataset. The solution, when deployed as a campaign, can provide recommendations using the GetRecommendations API.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  describe-recipe
--recipe-arn <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--recipe-arn (string)

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

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI 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.

--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. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.

Output

recipe -> (structure)

An object that describes the recipe.

name -> (string)

The name of the recipe.

recipeArn -> (string)

The Amazon Resource Name (ARN) of the recipe.

algorithmArn -> (string)

The Amazon Resource Name (ARN) of the algorithm that Amazon Personalize uses to train the model.

featureTransformationArn -> (string)

The ARN of the FeatureTransformation object.

status -> (string)

The status of the recipe.

description -> (string)

The description of the recipe.

creationDateTime -> (timestamp)

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

recipeType -> (string)

One of the following values:

  • PERSONALIZED_RANKING
  • RELATED_ITEMS
  • USER_PERSONALIZATION

lastUpdatedDateTime -> (timestamp)

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