aws machinelearning describe-ml-models
Returns a list of MLModel that match the search criteria in the request
Options
| Name | Description |
|---|---|
--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 |
--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 |
--next-token <string> | The ID of the page in the paginated results |
--limit <integer> | The number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100 |
--cli-input-json <string> | Performs service operation based on the JSON string provided. The JSON string follows the format provided by ``--generate-cli-skeleton``. If other arguments are provided on the command line, the CLI 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 |
--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``. If provided with the value ``output``, it validates the command inputs and returns a sample output JSON for that command |