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

Packages that use RealtimeEndpointInfo
com.amazonaws.services.machinelearning.model

### Uses of RealtimeEndpointInfo in com.amazonaws.services.machinelearning.model

Methods in com.amazonaws.services.machinelearning.model that return RealtimeEndpointInfo
`RealtimeEndpointInfo` RealtimeEndpointInfo.`clone()`
`RealtimeEndpointInfo` MLModel.`getEndpointInfo()` The current endpoint of the `MLModel`.
`RealtimeEndpointInfo` GetMLModelResult.`getEndpointInfo()` The current endpoint of the `MLModel`
`RealtimeEndpointInfo` DeleteRealtimeEndpointResult.`getRealtimeEndpointInfo()` The endpoint information of the `MLModel`
`RealtimeEndpointInfo` CreateRealtimeEndpointResult.`getRealtimeEndpointInfo()` The endpoint information of the `MLModel`
`RealtimeEndpointInfo` RealtimeEndpointInfo.`withCreatedAt(Date createdAt)` The time that the request to create the real-time endpoint for the `MLModel` was received.
`RealtimeEndpointInfo` RealtimeEndpointInfo.`withEndpointStatus(RealtimeEndpointStatus endpointStatus)` The current status of the real-time endpoint for the `MLModel`.
`RealtimeEndpointInfo` RealtimeEndpointInfo.`withEndpointStatus(String endpointStatus)` The current status of the real-time endpoint for the `MLModel`.
`RealtimeEndpointInfo` RealtimeEndpointInfo.`withEndpointUrl(String endpointUrl)` The URI that specifies where to send real-time prediction requests for the `MLModel`.
`RealtimeEndpointInfo` RealtimeEndpointInfo.`withPeakRequestsPerSecond(Integer peakRequestsPerSecond)` The maximum processing rate for the real-time endpoint for `MLModel`, measured in incoming requests per second.

Methods in com.amazonaws.services.machinelearning.model with parameters of type RealtimeEndpointInfo
`void` MLModel.`setEndpointInfo(RealtimeEndpointInfo endpointInfo)` The current endpoint of the `MLModel`.
`void` GetMLModelResult.`setEndpointInfo(RealtimeEndpointInfo endpointInfo)` The current endpoint of the `MLModel`
`void` DeleteRealtimeEndpointResult.`setRealtimeEndpointInfo(RealtimeEndpointInfo realtimeEndpointInfo)` The endpoint information of the `MLModel`
`void` CreateRealtimeEndpointResult.`setRealtimeEndpointInfo(RealtimeEndpointInfo realtimeEndpointInfo)` The endpoint information of the `MLModel`
`MLModel` MLModel.`withEndpointInfo(RealtimeEndpointInfo endpointInfo)` The current endpoint of the `MLModel`.
`GetMLModelResult` GetMLModelResult.`withEndpointInfo(RealtimeEndpointInfo endpointInfo)` The current endpoint of the `MLModel`
`DeleteRealtimeEndpointResult` DeleteRealtimeEndpointResult.`withRealtimeEndpointInfo(RealtimeEndpointInfo realtimeEndpointInfo)` The endpoint information of the `MLModel`
`CreateRealtimeEndpointResult` CreateRealtimeEndpointResult.`withRealtimeEndpointInfo(RealtimeEndpointInfo realtimeEndpointInfo)` The endpoint information of the `MLModel`