[ aws . machinelearning ]

describe-evaluations

Description

Returns a list of DescribeEvaluations that match the search criteria in the request.

See also: AWS API Documentation

describe-evaluations is a paginated operation. Multiple API calls may be issued in order to retrieve the entire data set of results. You can disable pagination by providing the --no-paginate argument. When using --output text and the --query argument on a paginated response, the --query argument must extract data from the results of the following query expressions: Results

Synopsis

  describe-evaluations
[--filter-variable <value>]
[--eq <value>]
[--gt <value>]
[--lt <value>]
[--ge <value>]
[--le <value>]
[--ne <value>]
[--prefix <value>]
[--sort-order <value>]
[--cli-input-json | --cli-input-yaml]
[--starting-token <value>]
[--page-size <value>]
[--max-items <value>]
[--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]

Options

--filter-variable (string)

Use one of the following variable to filter a list of Evaluation objects:

• CreatedAt - Sets the search criteria to the Evaluation creation date.

• Status - Sets the search criteria to the Evaluation status.

• Name - Sets the search criteria to the contents of Evaluation **** Name .

• IAMUser - Sets the search criteria to the user account that invoked an Evaluation .

• MLModelId - Sets the search criteria to the MLModel that was evaluated.

• DataSourceId - Sets the search criteria to the DataSource used in Evaluation .

• DataUri - Sets the search criteria to the data file(s) used in Evaluation . The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory.

Possible values:

• CreatedAt

• LastUpdatedAt

• Status

• Name

• IAMUser

• MLModelId

• DataSourceId

• DataURI

--eq (string)

The equal to operator. The Evaluation results will have FilterVariable values that exactly match the value specified with EQ .

--gt (string)

The greater than operator. The Evaluation results will have FilterVariable values that are greater than the value specified with GT .

--lt (string)

The less than operator. The Evaluation results will have FilterVariable values that are less than the value specified with LT .

--ge (string)

The greater than or equal to operator. The Evaluation results will have FilterVariable values that are greater than or equal to the value specified with GE .

--le (string)

The less than or equal to operator. The Evaluation results will have FilterVariable values that are less than or equal to the value specified with LE .

--ne (string)

The not equal to operator. The Evaluation results will have FilterVariable values not equal to the value specified with NE .

--prefix (string)

A string that is found at the beginning of a variable, such as Name or Id .

For example, an Evaluation could have the Name 2014-09-09-HolidayGiftMailer . To search for this Evaluation , select Name for the FilterVariable and any of the following strings for the Prefix :

• 2014-09

• 2014-09-09

• 2014-09-09-Holiday

--sort-order (string)

A two-value parameter that determines the sequence of the resulting list of Evaluation .

• asc - Arranges the list in ascending order (A-Z, 0-9).

• dsc - Arranges the list in descending order (Z-A, 9-0).

Results are sorted by FilterVariable .

Possible values:

• asc

• dsc

--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.

--starting-token (string)

A token to specify where to start paginating. This is the NextToken from a previously truncated response.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--page-size (integer)

The size of each page to get in the AWS service call. This does not affect the number of items returned in the command’s output. Setting a smaller page size results in more calls to the AWS service, retrieving fewer items in each call. This can help prevent the AWS service calls from timing out.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--max-items (integer)

The total number of items to return in the command’s output. If the total number of items available is more than the value specified, a NextToken is provided in the command’s output. To resume pagination, provide the NextToken value in the starting-token argument of a subsequent command. Do not use the NextToken response element directly outside of the AWS CLI.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--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.

Global Options

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command’s default URL with the given URL.

--no-verify-ssl (boolean)

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.

--no-paginate (boolean)

Disable automatic pagination.

--output (string)

The formatting style for command output.

• json

• text

• table

• yaml

• yaml-stream

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

• on

• off

• auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

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.

--cli-connect-timeout (int)

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.

--cli-binary-format (string)

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 cli-binary-format.

• base64

• raw-in-base64-out

--no-cli-pager (boolean)

Disable cli pager for output.

--cli-auto-prompt (boolean)

Automatically prompt for CLI input parameters.

--no-cli-auto-prompt (boolean)

Disable automatically prompt for CLI input parameters.

Output

Results -> (list)

A list of Evaluation that meet the search criteria.

(structure)

Represents the output of GetEvaluation operation.

The content consists of the detailed metadata and data file information and the current status of the Evaluation .

EvaluationId -> (string)

The ID that is assigned to the Evaluation at creation.

MLModelId -> (string)

The ID of the MLModel that is the focus of the evaluation.

EvaluationDataSourceId -> (string)

The ID of the DataSource that is used to evaluate the MLModel .

InputDataLocationS3 -> (string)

The location and name of the data in Amazon Simple Storage Server (Amazon S3) that is used in the evaluation.

CreatedByIamUser -> (string)

The AWS user account that invoked the evaluation. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

CreatedAt -> (timestamp)

The time that the Evaluation was created. The time is expressed in epoch time.

LastUpdatedAt -> (timestamp)

The time of the most recent edit to the Evaluation . The time is expressed in epoch time.

Name -> (string)

A user-supplied name or description of the Evaluation .

Status -> (string)

The status of the evaluation. This element can have one of the following values:

• PENDING - Amazon Machine Learning (Amazon ML) submitted a request to evaluate an MLModel .

• INPROGRESS - The evaluation is underway.

• FAILED - The request to evaluate an MLModel did not run to completion. It is not usable.

• COMPLETED - The evaluation process completed successfully.

• DELETED - The Evaluation is marked as deleted. It is not usable.

PerformanceMetrics -> (structure)

Measurements of how well the MLModel performed, using observations referenced by the DataSource . One of the following metrics is returned, based on the type of the MLModel :

• BinaryAUC: A binary MLModel uses the Area Under the Curve (AUC) technique to measure performance.

• RegressionRMSE: A regression MLModel uses the Root Mean Square Error (RMSE) technique to measure performance. RMSE measures the difference between predicted and actual values for a single variable.

• MulticlassAvgFScore: A multiclass MLModel uses the F1 score technique to measure performance.

For more information about performance metrics, please see the Amazon Machine Learning Developer Guide .

Properties -> (map)

key -> (string)

value -> (string)

Message -> (string)

A description of the most recent details about evaluating the MLModel .

ComputeTime -> (long)

Long integer type that is a 64-bit signed number.

FinishedAt -> (timestamp)

A timestamp represented in epoch time.

StartedAt -> (timestamp)

A timestamp represented in epoch time.

NextToken -> (string)

The ID of the next page in the paginated results that indicates at least one more page follows.