Module config

Configuration for Amazon Machine Learning.

Modules

• endpoint
  Types needed to configure endpoint resolution.
• http
  HTTP request and response types.
• interceptors
  Types needed to implement Intercept.
• retry
  Retry configuration.
• timeout
  Timeout configuration.

Structs

• AppName
  App name that can be configured with an AWS SDK client to become part of the user agent string.
• BehaviorVersion
  Behavior version of the client
• Builder
  Builder for creating a Config.
• Config
  Configuration for a aws_sdk_machinelearning service client.
• ConfigBag
  Layered configuration structure
• Credentials
  AWS SDK Credentials
• FrozenLayer
  FrozenLayer is the immutable and shareable form of Layer.
• IdentityCache
  Identity cache configuration.
• Layer
  A named layer comprising a config bag
• Region
  The region to send requests to.
• RuntimeComponents
  Components that can only be set in runtime plugins that the orchestrator uses directly to call an operation.
• RuntimeComponentsBuilder
  Builder for RuntimeComponents.
• SharedAsyncSleep
  Wrapper type for sharable AsyncSleep
• SharedCredentialsProvider
  Credentials Provider wrapper that may be shared
• SharedHttpClient
  Shared HTTP client for use across multiple clients and requests.
• SharedIdentityCache
  Shared identity cache.
• SharedInterceptor
  Interceptor wrapper that may be shared
• SharedRuntimePlugin
  Shared runtime plugin
• Sleep
  Future returned by AsyncSleep.
• StalledStreamProtectionConfig
  Configuration for stalled stream protection.

Traits

• AsyncSleep
  Async trait with a sleep function.
• HttpClient
  HTTP client abstraction.
• Intercept
  An interceptor allows injecting code into the SDK ’s request execution pipeline.
• IntoShared
  Like the Into trait, but for (efficiently) converting into a shared type.
• ProvideCredentials
  Asynchronous Credentials Provider
• ResolveCachedIdentity
  Caching resolver for identities.
• RuntimePlugin
  Runtime plugin trait