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200 lines
15 KiB
Go
200 lines
15 KiB
Go
// Code generated by private/model/cli/gen-api/main.go. DO NOT EDIT.
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// Package machinelearningiface provides an interface to enable mocking the Amazon Machine Learning service client
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// for testing your code.
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//
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// It is important to note that this interface will have breaking changes
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// when the service model is updated and adds new API operations, paginators,
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// and waiters.
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package machinelearningiface
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import (
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"github.com/aws/aws-sdk-go/aws"
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"github.com/aws/aws-sdk-go/aws/request"
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"github.com/aws/aws-sdk-go/service/machinelearning"
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)
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// MachineLearningAPI provides an interface to enable mocking the
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// machinelearning.MachineLearning service client's API operation,
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// paginators, and waiters. This make unit testing your code that calls out
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// to the SDK's service client's calls easier.
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//
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// The best way to use this interface is so the SDK's service client's calls
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// can be stubbed out for unit testing your code with the SDK without needing
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// to inject custom request handlers into the SDK's request pipeline.
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//
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// // myFunc uses an SDK service client to make a request to
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// // Amazon Machine Learning.
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// func myFunc(svc machinelearningiface.MachineLearningAPI) bool {
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// // Make svc.AddTags request
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// }
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//
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// func main() {
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// sess := session.New()
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// svc := machinelearning.New(sess)
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//
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// myFunc(svc)
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// }
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//
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// In your _test.go file:
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//
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// // Define a mock struct to be used in your unit tests of myFunc.
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// type mockMachineLearningClient struct {
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// machinelearningiface.MachineLearningAPI
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// }
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// func (m *mockMachineLearningClient) AddTags(input *machinelearning.AddTagsInput) (*machinelearning.AddTagsOutput, error) {
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// // mock response/functionality
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// }
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//
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// func TestMyFunc(t *testing.T) {
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// // Setup Test
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// mockSvc := &mockMachineLearningClient{}
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//
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// myfunc(mockSvc)
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//
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// // Verify myFunc's functionality
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// }
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//
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// It is important to note that this interface will have breaking changes
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// when the service model is updated and adds new API operations, paginators,
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// and waiters. Its suggested to use the pattern above for testing, or using
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// tooling to generate mocks to satisfy the interfaces.
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type MachineLearningAPI interface {
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AddTags(*machinelearning.AddTagsInput) (*machinelearning.AddTagsOutput, error)
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AddTagsWithContext(aws.Context, *machinelearning.AddTagsInput, ...request.Option) (*machinelearning.AddTagsOutput, error)
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AddTagsRequest(*machinelearning.AddTagsInput) (*request.Request, *machinelearning.AddTagsOutput)
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CreateBatchPrediction(*machinelearning.CreateBatchPredictionInput) (*machinelearning.CreateBatchPredictionOutput, error)
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CreateBatchPredictionWithContext(aws.Context, *machinelearning.CreateBatchPredictionInput, ...request.Option) (*machinelearning.CreateBatchPredictionOutput, error)
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CreateBatchPredictionRequest(*machinelearning.CreateBatchPredictionInput) (*request.Request, *machinelearning.CreateBatchPredictionOutput)
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CreateDataSourceFromRDS(*machinelearning.CreateDataSourceFromRDSInput) (*machinelearning.CreateDataSourceFromRDSOutput, error)
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CreateDataSourceFromRDSWithContext(aws.Context, *machinelearning.CreateDataSourceFromRDSInput, ...request.Option) (*machinelearning.CreateDataSourceFromRDSOutput, error)
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CreateDataSourceFromRDSRequest(*machinelearning.CreateDataSourceFromRDSInput) (*request.Request, *machinelearning.CreateDataSourceFromRDSOutput)
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CreateDataSourceFromRedshift(*machinelearning.CreateDataSourceFromRedshiftInput) (*machinelearning.CreateDataSourceFromRedshiftOutput, error)
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CreateDataSourceFromRedshiftWithContext(aws.Context, *machinelearning.CreateDataSourceFromRedshiftInput, ...request.Option) (*machinelearning.CreateDataSourceFromRedshiftOutput, error)
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CreateDataSourceFromRedshiftRequest(*machinelearning.CreateDataSourceFromRedshiftInput) (*request.Request, *machinelearning.CreateDataSourceFromRedshiftOutput)
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CreateDataSourceFromS3(*machinelearning.CreateDataSourceFromS3Input) (*machinelearning.CreateDataSourceFromS3Output, error)
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CreateDataSourceFromS3WithContext(aws.Context, *machinelearning.CreateDataSourceFromS3Input, ...request.Option) (*machinelearning.CreateDataSourceFromS3Output, error)
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CreateDataSourceFromS3Request(*machinelearning.CreateDataSourceFromS3Input) (*request.Request, *machinelearning.CreateDataSourceFromS3Output)
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CreateEvaluation(*machinelearning.CreateEvaluationInput) (*machinelearning.CreateEvaluationOutput, error)
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CreateEvaluationWithContext(aws.Context, *machinelearning.CreateEvaluationInput, ...request.Option) (*machinelearning.CreateEvaluationOutput, error)
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CreateEvaluationRequest(*machinelearning.CreateEvaluationInput) (*request.Request, *machinelearning.CreateEvaluationOutput)
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CreateMLModel(*machinelearning.CreateMLModelInput) (*machinelearning.CreateMLModelOutput, error)
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CreateMLModelWithContext(aws.Context, *machinelearning.CreateMLModelInput, ...request.Option) (*machinelearning.CreateMLModelOutput, error)
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CreateMLModelRequest(*machinelearning.CreateMLModelInput) (*request.Request, *machinelearning.CreateMLModelOutput)
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CreateRealtimeEndpoint(*machinelearning.CreateRealtimeEndpointInput) (*machinelearning.CreateRealtimeEndpointOutput, error)
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CreateRealtimeEndpointWithContext(aws.Context, *machinelearning.CreateRealtimeEndpointInput, ...request.Option) (*machinelearning.CreateRealtimeEndpointOutput, error)
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CreateRealtimeEndpointRequest(*machinelearning.CreateRealtimeEndpointInput) (*request.Request, *machinelearning.CreateRealtimeEndpointOutput)
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DeleteBatchPrediction(*machinelearning.DeleteBatchPredictionInput) (*machinelearning.DeleteBatchPredictionOutput, error)
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DeleteBatchPredictionWithContext(aws.Context, *machinelearning.DeleteBatchPredictionInput, ...request.Option) (*machinelearning.DeleteBatchPredictionOutput, error)
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DeleteBatchPredictionRequest(*machinelearning.DeleteBatchPredictionInput) (*request.Request, *machinelearning.DeleteBatchPredictionOutput)
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DeleteDataSource(*machinelearning.DeleteDataSourceInput) (*machinelearning.DeleteDataSourceOutput, error)
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DeleteDataSourceWithContext(aws.Context, *machinelearning.DeleteDataSourceInput, ...request.Option) (*machinelearning.DeleteDataSourceOutput, error)
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DeleteDataSourceRequest(*machinelearning.DeleteDataSourceInput) (*request.Request, *machinelearning.DeleteDataSourceOutput)
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DeleteEvaluation(*machinelearning.DeleteEvaluationInput) (*machinelearning.DeleteEvaluationOutput, error)
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DeleteEvaluationWithContext(aws.Context, *machinelearning.DeleteEvaluationInput, ...request.Option) (*machinelearning.DeleteEvaluationOutput, error)
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DeleteEvaluationRequest(*machinelearning.DeleteEvaluationInput) (*request.Request, *machinelearning.DeleteEvaluationOutput)
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DeleteMLModel(*machinelearning.DeleteMLModelInput) (*machinelearning.DeleteMLModelOutput, error)
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DeleteMLModelWithContext(aws.Context, *machinelearning.DeleteMLModelInput, ...request.Option) (*machinelearning.DeleteMLModelOutput, error)
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DeleteMLModelRequest(*machinelearning.DeleteMLModelInput) (*request.Request, *machinelearning.DeleteMLModelOutput)
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DeleteRealtimeEndpoint(*machinelearning.DeleteRealtimeEndpointInput) (*machinelearning.DeleteRealtimeEndpointOutput, error)
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DeleteRealtimeEndpointWithContext(aws.Context, *machinelearning.DeleteRealtimeEndpointInput, ...request.Option) (*machinelearning.DeleteRealtimeEndpointOutput, error)
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DeleteRealtimeEndpointRequest(*machinelearning.DeleteRealtimeEndpointInput) (*request.Request, *machinelearning.DeleteRealtimeEndpointOutput)
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DeleteTags(*machinelearning.DeleteTagsInput) (*machinelearning.DeleteTagsOutput, error)
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DeleteTagsWithContext(aws.Context, *machinelearning.DeleteTagsInput, ...request.Option) (*machinelearning.DeleteTagsOutput, error)
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DeleteTagsRequest(*machinelearning.DeleteTagsInput) (*request.Request, *machinelearning.DeleteTagsOutput)
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DescribeBatchPredictions(*machinelearning.DescribeBatchPredictionsInput) (*machinelearning.DescribeBatchPredictionsOutput, error)
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DescribeBatchPredictionsWithContext(aws.Context, *machinelearning.DescribeBatchPredictionsInput, ...request.Option) (*machinelearning.DescribeBatchPredictionsOutput, error)
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DescribeBatchPredictionsRequest(*machinelearning.DescribeBatchPredictionsInput) (*request.Request, *machinelearning.DescribeBatchPredictionsOutput)
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DescribeBatchPredictionsPages(*machinelearning.DescribeBatchPredictionsInput, func(*machinelearning.DescribeBatchPredictionsOutput, bool) bool) error
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DescribeBatchPredictionsPagesWithContext(aws.Context, *machinelearning.DescribeBatchPredictionsInput, func(*machinelearning.DescribeBatchPredictionsOutput, bool) bool, ...request.Option) error
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DescribeDataSources(*machinelearning.DescribeDataSourcesInput) (*machinelearning.DescribeDataSourcesOutput, error)
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DescribeDataSourcesWithContext(aws.Context, *machinelearning.DescribeDataSourcesInput, ...request.Option) (*machinelearning.DescribeDataSourcesOutput, error)
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DescribeDataSourcesRequest(*machinelearning.DescribeDataSourcesInput) (*request.Request, *machinelearning.DescribeDataSourcesOutput)
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DescribeDataSourcesPages(*machinelearning.DescribeDataSourcesInput, func(*machinelearning.DescribeDataSourcesOutput, bool) bool) error
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DescribeDataSourcesPagesWithContext(aws.Context, *machinelearning.DescribeDataSourcesInput, func(*machinelearning.DescribeDataSourcesOutput, bool) bool, ...request.Option) error
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DescribeEvaluations(*machinelearning.DescribeEvaluationsInput) (*machinelearning.DescribeEvaluationsOutput, error)
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DescribeEvaluationsWithContext(aws.Context, *machinelearning.DescribeEvaluationsInput, ...request.Option) (*machinelearning.DescribeEvaluationsOutput, error)
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DescribeEvaluationsRequest(*machinelearning.DescribeEvaluationsInput) (*request.Request, *machinelearning.DescribeEvaluationsOutput)
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DescribeEvaluationsPages(*machinelearning.DescribeEvaluationsInput, func(*machinelearning.DescribeEvaluationsOutput, bool) bool) error
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DescribeEvaluationsPagesWithContext(aws.Context, *machinelearning.DescribeEvaluationsInput, func(*machinelearning.DescribeEvaluationsOutput, bool) bool, ...request.Option) error
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DescribeMLModels(*machinelearning.DescribeMLModelsInput) (*machinelearning.DescribeMLModelsOutput, error)
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DescribeMLModelsWithContext(aws.Context, *machinelearning.DescribeMLModelsInput, ...request.Option) (*machinelearning.DescribeMLModelsOutput, error)
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DescribeMLModelsRequest(*machinelearning.DescribeMLModelsInput) (*request.Request, *machinelearning.DescribeMLModelsOutput)
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DescribeMLModelsPages(*machinelearning.DescribeMLModelsInput, func(*machinelearning.DescribeMLModelsOutput, bool) bool) error
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DescribeMLModelsPagesWithContext(aws.Context, *machinelearning.DescribeMLModelsInput, func(*machinelearning.DescribeMLModelsOutput, bool) bool, ...request.Option) error
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DescribeTags(*machinelearning.DescribeTagsInput) (*machinelearning.DescribeTagsOutput, error)
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DescribeTagsWithContext(aws.Context, *machinelearning.DescribeTagsInput, ...request.Option) (*machinelearning.DescribeTagsOutput, error)
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DescribeTagsRequest(*machinelearning.DescribeTagsInput) (*request.Request, *machinelearning.DescribeTagsOutput)
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GetBatchPrediction(*machinelearning.GetBatchPredictionInput) (*machinelearning.GetBatchPredictionOutput, error)
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GetBatchPredictionWithContext(aws.Context, *machinelearning.GetBatchPredictionInput, ...request.Option) (*machinelearning.GetBatchPredictionOutput, error)
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GetBatchPredictionRequest(*machinelearning.GetBatchPredictionInput) (*request.Request, *machinelearning.GetBatchPredictionOutput)
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GetDataSource(*machinelearning.GetDataSourceInput) (*machinelearning.GetDataSourceOutput, error)
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GetDataSourceWithContext(aws.Context, *machinelearning.GetDataSourceInput, ...request.Option) (*machinelearning.GetDataSourceOutput, error)
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GetDataSourceRequest(*machinelearning.GetDataSourceInput) (*request.Request, *machinelearning.GetDataSourceOutput)
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GetEvaluation(*machinelearning.GetEvaluationInput) (*machinelearning.GetEvaluationOutput, error)
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GetEvaluationWithContext(aws.Context, *machinelearning.GetEvaluationInput, ...request.Option) (*machinelearning.GetEvaluationOutput, error)
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GetEvaluationRequest(*machinelearning.GetEvaluationInput) (*request.Request, *machinelearning.GetEvaluationOutput)
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GetMLModel(*machinelearning.GetMLModelInput) (*machinelearning.GetMLModelOutput, error)
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GetMLModelWithContext(aws.Context, *machinelearning.GetMLModelInput, ...request.Option) (*machinelearning.GetMLModelOutput, error)
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GetMLModelRequest(*machinelearning.GetMLModelInput) (*request.Request, *machinelearning.GetMLModelOutput)
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Predict(*machinelearning.PredictInput) (*machinelearning.PredictOutput, error)
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PredictWithContext(aws.Context, *machinelearning.PredictInput, ...request.Option) (*machinelearning.PredictOutput, error)
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PredictRequest(*machinelearning.PredictInput) (*request.Request, *machinelearning.PredictOutput)
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UpdateBatchPrediction(*machinelearning.UpdateBatchPredictionInput) (*machinelearning.UpdateBatchPredictionOutput, error)
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UpdateBatchPredictionWithContext(aws.Context, *machinelearning.UpdateBatchPredictionInput, ...request.Option) (*machinelearning.UpdateBatchPredictionOutput, error)
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UpdateBatchPredictionRequest(*machinelearning.UpdateBatchPredictionInput) (*request.Request, *machinelearning.UpdateBatchPredictionOutput)
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UpdateDataSource(*machinelearning.UpdateDataSourceInput) (*machinelearning.UpdateDataSourceOutput, error)
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UpdateDataSourceWithContext(aws.Context, *machinelearning.UpdateDataSourceInput, ...request.Option) (*machinelearning.UpdateDataSourceOutput, error)
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UpdateDataSourceRequest(*machinelearning.UpdateDataSourceInput) (*request.Request, *machinelearning.UpdateDataSourceOutput)
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UpdateEvaluation(*machinelearning.UpdateEvaluationInput) (*machinelearning.UpdateEvaluationOutput, error)
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UpdateEvaluationWithContext(aws.Context, *machinelearning.UpdateEvaluationInput, ...request.Option) (*machinelearning.UpdateEvaluationOutput, error)
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UpdateEvaluationRequest(*machinelearning.UpdateEvaluationInput) (*request.Request, *machinelearning.UpdateEvaluationOutput)
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UpdateMLModel(*machinelearning.UpdateMLModelInput) (*machinelearning.UpdateMLModelOutput, error)
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UpdateMLModelWithContext(aws.Context, *machinelearning.UpdateMLModelInput, ...request.Option) (*machinelearning.UpdateMLModelOutput, error)
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UpdateMLModelRequest(*machinelearning.UpdateMLModelInput) (*request.Request, *machinelearning.UpdateMLModelOutput)
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WaitUntilBatchPredictionAvailable(*machinelearning.DescribeBatchPredictionsInput) error
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WaitUntilBatchPredictionAvailableWithContext(aws.Context, *machinelearning.DescribeBatchPredictionsInput, ...request.WaiterOption) error
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WaitUntilDataSourceAvailable(*machinelearning.DescribeDataSourcesInput) error
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WaitUntilDataSourceAvailableWithContext(aws.Context, *machinelearning.DescribeDataSourcesInput, ...request.WaiterOption) error
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WaitUntilEvaluationAvailable(*machinelearning.DescribeEvaluationsInput) error
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WaitUntilEvaluationAvailableWithContext(aws.Context, *machinelearning.DescribeEvaluationsInput, ...request.WaiterOption) error
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WaitUntilMLModelAvailable(*machinelearning.DescribeMLModelsInput) error
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WaitUntilMLModelAvailableWithContext(aws.Context, *machinelearning.DescribeMLModelsInput, ...request.WaiterOption) error
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}
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var _ MachineLearningAPI = (*machinelearning.MachineLearning)(nil)
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