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

Packages that use DescribeMLModelsRequest
com.amazonaws.services.machinelearning: Definition of the public APIs exposed by Amazon Machine Learning
com.amazonaws.services.machinelearning.model
com.amazonaws.services.machinelearning.waiters

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

Methods in com.amazonaws.services.machinelearning with parameters of type DescribeMLModelsRequest
`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.
`DescribeMLModelsResult` AbstractAmazonMachineLearning.`describeMLModels(DescribeMLModelsRequest request)`
`Future<DescribeMLModelsResult>` AbstractAmazonMachineLearningAsync.`describeMLModelsAsync(DescribeMLModelsRequest request)`
`Future<DescribeMLModelsResult>` AmazonMachineLearningAsyncClient.`describeMLModelsAsync(DescribeMLModelsRequest request)`
`Future<DescribeMLModelsResult>` AmazonMachineLearningAsync.`describeMLModelsAsync(DescribeMLModelsRequest describeMLModelsRequest)` Returns a list of `MLModel` that match the search criteria in the request.
`Future<DescribeMLModelsResult>` AbstractAmazonMachineLearningAsync.`describeMLModelsAsync(DescribeMLModelsRequest request, AsyncHandler<DescribeMLModelsRequest,DescribeMLModelsResult> asyncHandler)`
`Future<DescribeMLModelsResult>` AmazonMachineLearningAsyncClient.`describeMLModelsAsync(DescribeMLModelsRequest request, AsyncHandler<DescribeMLModelsRequest,DescribeMLModelsResult> asyncHandler)`
`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
`Future<DescribeMLModelsResult>` AbstractAmazonMachineLearningAsync.`describeMLModelsAsync(AsyncHandler<DescribeMLModelsRequest,DescribeMLModelsResult> asyncHandler)` Simplified method form for invoking the DescribeMLModels operation with an AsyncHandler.
`Future<DescribeMLModelsResult>` AmazonMachineLearningAsyncClient.`describeMLModelsAsync(AsyncHandler<DescribeMLModelsRequest,DescribeMLModelsResult> asyncHandler)` Simplified method form for invoking the DescribeMLModels operation with an AsyncHandler.
`Future<DescribeMLModelsResult>` AmazonMachineLearningAsync.`describeMLModelsAsync(AsyncHandler<DescribeMLModelsRequest,DescribeMLModelsResult> asyncHandler)` Simplified method form for invoking the DescribeMLModels operation with an AsyncHandler.
`Future<DescribeMLModelsResult>` AbstractAmazonMachineLearningAsync.`describeMLModelsAsync(DescribeMLModelsRequest request, AsyncHandler<DescribeMLModelsRequest,DescribeMLModelsResult> asyncHandler)`
`Future<DescribeMLModelsResult>` AmazonMachineLearningAsyncClient.`describeMLModelsAsync(DescribeMLModelsRequest request, AsyncHandler<DescribeMLModelsRequest,DescribeMLModelsResult> asyncHandler)`
`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
`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`:
`DescribeMLModelsRequest` DescribeMLModelsRequest.`withFilterVariable(String filterVariable)` Use one of the following variables to filter a list of `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`.

### Uses of DescribeMLModelsRequest in com.amazonaws.services.machinelearning.waiters

Methods in com.amazonaws.services.machinelearning.waiters that return types with arguments of type DescribeMLModelsRequest

`Waiter<DescribeMLModelsRequest>`

AmazonMachineLearningWaiters.`mLModelAvailable()`
Builds a MLModelAvailable waiter by using custom parameters waiterParameters and other parameters defined in the waiters specification, and then polls until it determines whether the resource entered the desired state or not, where polling criteria is bound by either default polling strategy or custom polling strategy.

Methods in com.amazonaws.services.machinelearning.waiters with parameters of type DescribeMLModelsRequest
`DescribeMLModelsResult` DescribeMLModelsFunction.`apply(DescribeMLModelsRequest describeMLModelsRequest)` Makes a call to the operation specified by the waiter by taking the corresponding request and returns the corresponding result