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
describe-recipe --recipe-arn <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]
The Amazon Resource Name (ARN) of the recipe to describe.
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
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.
Turn on debug logging.
Override command’s default URL with the given URL.
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.
Disable automatic pagination.
The formatting style for command output.
A JMESPath query to use in filtering the response data.
Use a specific profile from your credential file.
The region to use. Overrides config/env settings.
Display the version of this tool.
Turn on/off color output.
Do not sign requests. Credentials will not be loaded if this argument is provided.
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
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.
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.
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
Disable cli pager for output.
Automatically prompt for CLI input parameters.
Disable automatically prompt for CLI input parameters.
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:
lastUpdatedDateTime -> (timestamp)
The date and time (in Unix format) that the recipe was last updated.