[ 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 | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--cli-auto-prompt <value>]

Options

--recipe-arn (string)

The Amazon Resource Name (ARN) of the recipe 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.

--cli-auto-prompt (boolean) Automatically prompt for CLI input parameters.

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.