AWS SDK Version 2 for .NET
API Reference

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.NET Framework 3.5
 
Container for the parameters to the DescribeMLModels operation. Returns a list of MLModel that match the search criteria in the request.

Inheritance Hierarchy

System.Object
  Amazon.Runtime.AmazonWebServiceRequest
    Amazon.MachineLearning.AmazonMachineLearningRequest
      Amazon.MachineLearning.Model.DescribeMLModelsRequest

Namespace: Amazon.MachineLearning.Model
Assembly: AWSSDK.dll
Version: (assembly version)

Syntax

C#
public class DescribeMLModelsRequest : AmazonMachineLearningRequest
         IRequestEvents

The DescribeMLModelsRequest type exposes the following members

Constructors

NameDescription
Public Method DescribeMLModelsRequest()

Properties

NameTypeDescription
Public Property EQ System.String Gets and sets the property EQ.

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

Public Property FilterVariable Amazon.MachineLearning.MLModelFilterVariable Gets and sets the property FilterVariable.

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 MLModelName.
  • 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.
Public Property GE System.String Gets and sets the property GE.

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.

Public Property GT System.String Gets and sets the property GT.

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

Public Property LE System.String Gets and sets the property LE.

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.

Public Property Limit System.Int32 Gets and sets the property Limit.

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.

Public Property LT System.String Gets and sets the property LT.

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

Public Property NE System.String Gets and sets the property NE.

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

Public Property NextToken System.String Gets and sets the property NextToken.

The ID of the page in the paginated results.

Public Property Prefix System.String Gets and sets the property Prefix.

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

For example, an MLModel could have the Name2014-09-09-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

Public Property SortOrder Amazon.MachineLearning.SortOrder Gets and sets the property SortOrder.

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.

Version Information

.NET Framework:
Supported in: 4.5, 4.0, 3.5