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Class: Aws::MachineLearning::Types::DescribeMLModelsInput

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Note:

When passing DescribeMLModelsInput as input to an Aws::Client method, you can use a vanilla Hash:

{
  filter_variable: "CreatedAt", # accepts CreatedAt, LastUpdatedAt, Status, Name, IAMUser, TrainingDataSourceId, RealtimeEndpointStatus, MLModelType, Algorithm, TrainingDataURI
  eq: "ComparatorValue",
  gt: "ComparatorValue",
  lt: "ComparatorValue",
  ge: "ComparatorValue",
  le: "ComparatorValue",
  ne: "ComparatorValue",
  prefix: "ComparatorValue",
  sort_order: "asc", # accepts asc, dsc
  next_token: "StringType",
  limit: 1,
}

Instance Attribute Summary collapse

Instance Attribute Details

#eq ⇒ String

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

Returns:

  • (String) —

    The equal to operator.

#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

Returns:

  • (String) —

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

#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.

Returns:

  • (String) —

    The greater than or equal to operator.

#gt ⇒ String

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

Returns:

  • (String) —

    The greater than operator.

#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.

Returns:

  • (String) —

    The less than or equal to operator.

#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.

Returns:

  • (Integer) —

    The number of pages of information to include in the result.

#lt ⇒ String

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

Returns:

  • (String) —

    The less than operator.

#ne ⇒ String

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

Returns:

  • (String) —

    The not equal to operator.

#next_token ⇒ String

The ID of the page in the paginated results.

Returns:

  • (String) —

    The ID of the page in the paginated results.

#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

Returns:

  • (String) —

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

#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

Returns:

  • (String) —

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