[ aws . personalize ]

describe-algorithm

Description

Describes the given algorithm.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

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

Options

--algorithm-arn (string)

The Amazon Resource Name (ARN) of the algorithm 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.

See ‘aws help’ for descriptions of global parameters.

Output

algorithm -> (structure)

A listing of the properties of the algorithm.

name -> (string)

The name of the algorithm.

algorithmArn -> (string)

The Amazon Resource Name (ARN) of the algorithm.

algorithmImage -> (structure)

The URI of the Docker container for the algorithm image.

name -> (string)

The name of the algorithm image.

dockerURI -> (string)

The URI of the Docker container for the algorithm image.

defaultHyperParameters -> (map)

Specifies the default hyperparameters.

key -> (string)

value -> (string)

defaultHyperParameterRanges -> (structure)

Specifies the default hyperparameters, their ranges, and whether they are tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

integerHyperParameterRanges -> (list)

The integer-valued hyperparameters and their default ranges.

(structure)

Provides the name and default range of a integer-valued hyperparameter and whether the hyperparameter is tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

name -> (string)

The name of the hyperparameter.

minValue -> (integer)

The minimum allowable value for the hyperparameter.

maxValue -> (integer)

The maximum allowable value for the hyperparameter.

isTunable -> (boolean)

Indicates whether the hyperparameter is tunable.

continuousHyperParameterRanges -> (list)

The continuous hyperparameters and their default ranges.

(structure)

Provides the name and default range of a continuous hyperparameter and whether the hyperparameter is tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

name -> (string)

The name of the hyperparameter.

minValue -> (double)

The minimum allowable value for the hyperparameter.

maxValue -> (double)

The maximum allowable value for the hyperparameter.

isTunable -> (boolean)

Whether the hyperparameter is tunable.

categoricalHyperParameterRanges -> (list)

The categorical hyperparameters and their default ranges.

(structure)

Provides the name and default range of a categorical hyperparameter and whether the hyperparameter is tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

name -> (string)

The name of the hyperparameter.

values -> (list)

A list of the categories for the hyperparameter.

(string)

isTunable -> (boolean)

Whether the hyperparameter is tunable.

defaultResourceConfig -> (map)

Specifies the default maximum number of training jobs and parallel training jobs.

key -> (string)

value -> (string)

trainingInputMode -> (string)

The training input mode.

roleArn -> (string)

The Amazon Resource Name (ARN) of the role.

creationDateTime -> (timestamp)

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

lastUpdatedDateTime -> (timestamp)

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