Uses of Class
com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest

Packages that use DescribeMLModelsRequest

Package	Description
com.amazonaws.services.machinelearning	Synchronous and asynchronous client classes for accessing AmazonMachineLearning.
com.amazonaws.services.machinelearning.model	Classes modeling the various types represented by AmazonMachineLearning.

Uses of DescribeMLModelsRequest in com.amazonaws.services.machinelearning

Methods in com.amazonaws.services.machinelearning with parameters of type DescribeMLModelsRequest

Modifier and Type	Method and Description
DescribeMLModelsResult	AmazonMachineLearningClient.describeMLModels(DescribeMLModelsRequest describeMLModelsRequest) Returns a list of MLModel that match the search criteria in the request.
DescribeMLModelsResult	AmazonMachineLearning.describeMLModels(DescribeMLModelsRequest describeMLModelsRequest) Returns a list of MLModel that match the search criteria in the request.
Future<DescribeMLModelsResult>	AmazonMachineLearningAsyncClient.describeMLModelsAsync(DescribeMLModelsRequest describeMLModelsRequest) Returns a list of MLModel that match the search criteria in the request.
Future<DescribeMLModelsResult>	AmazonMachineLearningAsync.describeMLModelsAsync(DescribeMLModelsRequest describeMLModelsRequest) Returns a list of MLModel that match the search criteria in the request.
Future<DescribeMLModelsResult>	AmazonMachineLearningAsyncClient.describeMLModelsAsync(DescribeMLModelsRequest describeMLModelsRequest, AsyncHandler<DescribeMLModelsRequest,DescribeMLModelsResult> asyncHandler) Returns a list of MLModel that match the search criteria in the request.
Future<DescribeMLModelsResult>	AmazonMachineLearningAsync.describeMLModelsAsync(DescribeMLModelsRequest describeMLModelsRequest, AsyncHandler<DescribeMLModelsRequest,DescribeMLModelsResult> asyncHandler) Returns a list of MLModel that match the search criteria in the request.

Method parameters in com.amazonaws.services.machinelearning with type arguments of type DescribeMLModelsRequest

Modifier and Type	Method and Description
Future<DescribeMLModelsResult>	AmazonMachineLearningAsyncClient.describeMLModelsAsync(DescribeMLModelsRequest describeMLModelsRequest, AsyncHandler<DescribeMLModelsRequest,DescribeMLModelsResult> asyncHandler) Returns a list of MLModel that match the search criteria in the request.
Future<DescribeMLModelsResult>	AmazonMachineLearningAsync.describeMLModelsAsync(DescribeMLModelsRequest describeMLModelsRequest, AsyncHandler<DescribeMLModelsRequest,DescribeMLModelsResult> asyncHandler) Returns a list of MLModel that match the search criteria in the request.

Uses of DescribeMLModelsRequest in com.amazonaws.services.machinelearning.model

Methods in com.amazonaws.services.machinelearning.model that return DescribeMLModelsRequest

Modifier and Type	Method and Description
DescribeMLModelsRequest	DescribeMLModelsRequest.clone()
DescribeMLModelsRequest	DescribeMLModelsRequest.withEQ(String eQ) The equal to operator.
DescribeMLModelsRequest	DescribeMLModelsRequest.withFilterVariable(MLModelFilterVariable 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 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.
DescribeMLModelsRequest	DescribeMLModelsRequest.withFilterVariable(String 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 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.
DescribeMLModelsRequest	DescribeMLModelsRequest.withGE(String gE) The greater than or equal to operator.
DescribeMLModelsRequest	DescribeMLModelsRequest.withGT(String gT) The greater than operator.
DescribeMLModelsRequest	DescribeMLModelsRequest.withLE(String lE) The less than or equal to operator.
DescribeMLModelsRequest	DescribeMLModelsRequest.withLimit(Integer limit) The number of pages of information to include in the result.
DescribeMLModelsRequest	DescribeMLModelsRequest.withLT(String lT) The less than operator.
DescribeMLModelsRequest	DescribeMLModelsRequest.withNE(String nE) The not equal to operator.
DescribeMLModelsRequest	DescribeMLModelsRequest.withNextToken(String nextToken) The ID of the page in the paginated results.
DescribeMLModelsRequest	DescribeMLModelsRequest.withPrefix(String prefix) A string that is found at the beginning of a variable, such as Name or Id.
DescribeMLModelsRequest	DescribeMLModelsRequest.withSortOrder(SortOrder sortOrder) A two-value parameter that determines the sequence of the resulting list of MLModel.
DescribeMLModelsRequest	DescribeMLModelsRequest.withSortOrder(String sortOrder) A two-value parameter that determines the sequence of the resulting list of MLModel.