mocks

package
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 Go to latest Published: Jul 13, 2024 License: MIT Imports: 3 Imported by: 0

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Constants

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Variables

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Functions

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Types

type IClient 

type IClient struct {
	mock.Mock
}

IClient is an autogenerated mock type for the IClient type

func NewIClient 

func NewIClient(t interface {
	mock.TestingT
	Cleanup(func())
}) *IClient

NewIClient creates a new instance of IClient. It also registers a testing interface on the mock and a cleanup function to assert the mocks expectations. The first argument is typically a *testing.T value.

func (*IClient) AddTags 

func (_m *IClient) AddTags(ctx context.Context, params *machinelearning.AddTagsInput, optFns ...func(*machinelearning.Options)) (*machinelearning.AddTagsOutput, error)

AddTags provides a mock function with given fields: ctx, params, optFns

func (*IClient) CreateBatchPrediction 

func (_m *IClient) CreateBatchPrediction(ctx context.Context, params *machinelearning.CreateBatchPredictionInput, optFns ...func(*machinelearning.Options)) (*machinelearning.CreateBatchPredictionOutput, error)

CreateBatchPrediction provides a mock function with given fields: ctx, params, optFns

func (*IClient) CreateDataSourceFromRDS 

func (_m *IClient) CreateDataSourceFromRDS(ctx context.Context, params *machinelearning.CreateDataSourceFromRDSInput, optFns ...func(*machinelearning.Options)) (*machinelearning.CreateDataSourceFromRDSOutput, error)

CreateDataSourceFromRDS provides a mock function with given fields: ctx, params, optFns

func (*IClient) CreateDataSourceFromRedshift 

func (_m *IClient) CreateDataSourceFromRedshift(ctx context.Context, params *machinelearning.CreateDataSourceFromRedshiftInput, optFns ...func(*machinelearning.Options)) (*machinelearning.CreateDataSourceFromRedshiftOutput, error)

CreateDataSourceFromRedshift provides a mock function with given fields: ctx, params, optFns

func (*IClient) CreateDataSourceFromS3 

func (_m *IClient) CreateDataSourceFromS3(ctx context.Context, params *machinelearning.CreateDataSourceFromS3Input, optFns ...func(*machinelearning.Options)) (*machinelearning.CreateDataSourceFromS3Output, error)

CreateDataSourceFromS3 provides a mock function with given fields: ctx, params, optFns

func (*IClient) CreateEvaluation 

func (_m *IClient) CreateEvaluation(ctx context.Context, params *machinelearning.CreateEvaluationInput, optFns ...func(*machinelearning.Options)) (*machinelearning.CreateEvaluationOutput, error)

CreateEvaluation provides a mock function with given fields: ctx, params, optFns

func (*IClient) CreateMLModel 

func (_m *IClient) CreateMLModel(ctx context.Context, params *machinelearning.CreateMLModelInput, optFns ...func(*machinelearning.Options)) (*machinelearning.CreateMLModelOutput, error)

CreateMLModel provides a mock function with given fields: ctx, params, optFns

func (*IClient) CreateRealtimeEndpoint 

func (_m *IClient) CreateRealtimeEndpoint(ctx context.Context, params *machinelearning.CreateRealtimeEndpointInput, optFns ...func(*machinelearning.Options)) (*machinelearning.CreateRealtimeEndpointOutput, error)

CreateRealtimeEndpoint provides a mock function with given fields: ctx, params, optFns

func (*IClient) DeleteBatchPrediction 

func (_m *IClient) DeleteBatchPrediction(ctx context.Context, params *machinelearning.DeleteBatchPredictionInput, optFns ...func(*machinelearning.Options)) (*machinelearning.DeleteBatchPredictionOutput, error)

DeleteBatchPrediction provides a mock function with given fields: ctx, params, optFns

func (*IClient) DeleteDataSource 

func (_m *IClient) DeleteDataSource(ctx context.Context, params *machinelearning.DeleteDataSourceInput, optFns ...func(*machinelearning.Options)) (*machinelearning.DeleteDataSourceOutput, error)

DeleteDataSource provides a mock function with given fields: ctx, params, optFns

func (*IClient) DeleteEvaluation 

func (_m *IClient) DeleteEvaluation(ctx context.Context, params *machinelearning.DeleteEvaluationInput, optFns ...func(*machinelearning.Options)) (*machinelearning.DeleteEvaluationOutput, error)

DeleteEvaluation provides a mock function with given fields: ctx, params, optFns

func (*IClient) DeleteMLModel 

func (_m *IClient) DeleteMLModel(ctx context.Context, params *machinelearning.DeleteMLModelInput, optFns ...func(*machinelearning.Options)) (*machinelearning.DeleteMLModelOutput, error)

DeleteMLModel provides a mock function with given fields: ctx, params, optFns

func (*IClient) DeleteRealtimeEndpoint 

func (_m *IClient) DeleteRealtimeEndpoint(ctx context.Context, params *machinelearning.DeleteRealtimeEndpointInput, optFns ...func(*machinelearning.Options)) (*machinelearning.DeleteRealtimeEndpointOutput, error)

DeleteRealtimeEndpoint provides a mock function with given fields: ctx, params, optFns

func (*IClient) DeleteTags 

func (_m *IClient) DeleteTags(ctx context.Context, params *machinelearning.DeleteTagsInput, optFns ...func(*machinelearning.Options)) (*machinelearning.DeleteTagsOutput, error)

DeleteTags provides a mock function with given fields: ctx, params, optFns

func (*IClient) DescribeBatchPredictions 

func (_m *IClient) DescribeBatchPredictions(ctx context.Context, params *machinelearning.DescribeBatchPredictionsInput, optFns ...func(*machinelearning.Options)) (*machinelearning.DescribeBatchPredictionsOutput, error)

DescribeBatchPredictions provides a mock function with given fields: ctx, params, optFns

func (*IClient) DescribeDataSources 

func (_m *IClient) DescribeDataSources(ctx context.Context, params *machinelearning.DescribeDataSourcesInput, optFns ...func(*machinelearning.Options)) (*machinelearning.DescribeDataSourcesOutput, error)

DescribeDataSources provides a mock function with given fields: ctx, params, optFns

func (*IClient) DescribeEvaluations 

func (_m *IClient) DescribeEvaluations(ctx context.Context, params *machinelearning.DescribeEvaluationsInput, optFns ...func(*machinelearning.Options)) (*machinelearning.DescribeEvaluationsOutput, error)

DescribeEvaluations provides a mock function with given fields: ctx, params, optFns

func (*IClient) DescribeMLModels 

func (_m *IClient) DescribeMLModels(ctx context.Context, params *machinelearning.DescribeMLModelsInput, optFns ...func(*machinelearning.Options)) (*machinelearning.DescribeMLModelsOutput, error)

DescribeMLModels provides a mock function with given fields: ctx, params, optFns

func (*IClient) DescribeTags 

func (_m *IClient) DescribeTags(ctx context.Context, params *machinelearning.DescribeTagsInput, optFns ...func(*machinelearning.Options)) (*machinelearning.DescribeTagsOutput, error)

DescribeTags provides a mock function with given fields: ctx, params, optFns

func (*IClient) GetBatchPrediction 

func (_m *IClient) GetBatchPrediction(ctx context.Context, params *machinelearning.GetBatchPredictionInput, optFns ...func(*machinelearning.Options)) (*machinelearning.GetBatchPredictionOutput, error)

GetBatchPrediction provides a mock function with given fields: ctx, params, optFns

func (*IClient) GetDataSource 

func (_m *IClient) GetDataSource(ctx context.Context, params *machinelearning.GetDataSourceInput, optFns ...func(*machinelearning.Options)) (*machinelearning.GetDataSourceOutput, error)

GetDataSource provides a mock function with given fields: ctx, params, optFns

func (*IClient) GetEvaluation 

func (_m *IClient) GetEvaluation(ctx context.Context, params *machinelearning.GetEvaluationInput, optFns ...func(*machinelearning.Options)) (*machinelearning.GetEvaluationOutput, error)

GetEvaluation provides a mock function with given fields: ctx, params, optFns

func (*IClient) GetMLModel 

func (_m *IClient) GetMLModel(ctx context.Context, params *machinelearning.GetMLModelInput, optFns ...func(*machinelearning.Options)) (*machinelearning.GetMLModelOutput, error)

GetMLModel provides a mock function with given fields: ctx, params, optFns

func (*IClient) Options 

func (_m *IClient) Options() machinelearning.Options

Options provides a mock function with given fields:

func (*IClient) Predict 

func (_m *IClient) Predict(ctx context.Context, params *machinelearning.PredictInput, optFns ...func(*machinelearning.Options)) (*machinelearning.PredictOutput, error)

Predict provides a mock function with given fields: ctx, params, optFns

func (*IClient) UpdateBatchPrediction 

func (_m *IClient) UpdateBatchPrediction(ctx context.Context, params *machinelearning.UpdateBatchPredictionInput, optFns ...func(*machinelearning.Options)) (*machinelearning.UpdateBatchPredictionOutput, error)

UpdateBatchPrediction provides a mock function with given fields: ctx, params, optFns

func (*IClient) UpdateDataSource 

func (_m *IClient) UpdateDataSource(ctx context.Context, params *machinelearning.UpdateDataSourceInput, optFns ...func(*machinelearning.Options)) (*machinelearning.UpdateDataSourceOutput, error)

UpdateDataSource provides a mock function with given fields: ctx, params, optFns

func (*IClient) UpdateEvaluation 

func (_m *IClient) UpdateEvaluation(ctx context.Context, params *machinelearning.UpdateEvaluationInput, optFns ...func(*machinelearning.Options)) (*machinelearning.UpdateEvaluationOutput, error)

UpdateEvaluation provides a mock function with given fields: ctx, params, optFns

func (*IClient) UpdateMLModel 

func (_m *IClient) UpdateMLModel(ctx context.Context, params *machinelearning.UpdateMLModelInput, optFns ...func(*machinelearning.Options)) (*machinelearning.UpdateMLModelOutput, error)

UpdateMLModel provides a mock function with given fields: ctx, params, optFns

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