MachineLearningEndpointProvider.h

 
#pragma once
#include <aws/core/client/GenericClientConfiguration.h>
#include <aws/core/endpoint/DefaultEndpointProvider.h>
#include <aws/core/endpoint/EndpointParameter.h>
#include <aws/core/utils/memory/stl/AWSString.h>
#include <aws/core/utils/memory/stl/AWSVector.h>
#include <aws/machinelearning/MachineLearningEndpointRules.h>
#include <aws/machinelearning/MachineLearning_EXPORTS.h>
 
namespace Aws {
namespace MachineLearning {
namespace Endpoint {
using EndpointParameters = Aws::Endpoint::EndpointParameters;
using Aws::Endpoint::DefaultEndpointProvider;
using Aws::Endpoint::EndpointProviderBase;
 
using MachineLearningClientContextParameters = Aws::Endpoint::ClientContextParameters;
 
using MachineLearningClientConfiguration = Aws::Client::GenericClientConfiguration;
using MachineLearningBuiltInParameters = Aws::Endpoint::BuiltInParameters;
 
using MachineLearningEndpointProviderBase =
    EndpointProviderBase<MachineLearningClientConfiguration, MachineLearningBuiltInParameters, MachineLearningClientContextParameters>;
 
using MachineLearningDefaultEpProviderBase =
    DefaultEndpointProvider<MachineLearningClientConfiguration, MachineLearningBuiltInParameters, MachineLearningClientContextParameters>;
 
class AWS_MACHINELEARNING_API MachineLearningEndpointProvider : public MachineLearningDefaultEpProviderBase {
 public:
  using MachineLearningResolveEndpointOutcome = Aws::Endpoint::ResolveEndpointOutcome;
 
  MachineLearningEndpointProvider()
      : MachineLearningDefaultEpProviderBase(Aws::MachineLearning::MachineLearningEndpointRules::GetRulesBlob(),
                                             Aws::MachineLearning::MachineLearningEndpointRules::RulesBlobSize) {}
 
  ~MachineLearningEndpointProvider() {}
};
}  // namespace Endpoint
}  // namespace MachineLearning
}  // namespace Aws