[ aws . machinelearning . wait ]

ml-model-available

Description

Wait until JMESPath query Results[].Status returns COMPLETED for all elements when polling with describe-ml-models. It will poll every 30 seconds until a successful state has been reached. This will exit with a return code of 255 after 60 failed checks.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

ml-model-available 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

  ml-model-available
[--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>]
[--cli-auto-prompt <value>]

Options

--filter-variable (string)

Use one of the following variables to filter a list of MLModel :

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

  • Status - Sets the search criteria to MLModel status.

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

  • IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.

  • TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel .

  • RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.

  • MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.

  • Algorithm - Sets the search criteria to the algorithm that the MLModel uses.

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

Possible values:

  • CreatedAt

  • LastUpdatedAt

  • Status

  • Name

  • IAMUser

  • TrainingDataSourceId

  • RealtimeEndpointStatus

  • MLModelType

  • Algorithm

  • TrainingDataURI

--eq (string)

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

--gt (string)

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

--lt (string)

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

--ge (string)

The greater than or equal to operator. The MLModel 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 MLModel 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 MLModel 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 MLModel could have the Name 2014-09-09-HolidayGiftMailer . To search for this MLModel , 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 MLModel .

  • 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.

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

See ‘aws help’ for descriptions of global parameters.

Output

None