Golang machinelearning.New函数代码示例

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本文整理汇总了Golang中github.com/tetrafolium/aws-sdk-go/service/machinelearning.New函数的典型用法代码示例。如果您正苦于以下问题：Golang New函数的具体用法？Golang New怎么用？Golang New使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。

在下文中一共展示了New函数的9个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Golang代码示例。

示例1: ExampleMachineLearning_Predict

func ExampleMachineLearning_Predict() {
	svc := machinelearning.New(nil)

	params := &machinelearning.PredictInput{
		MLModelId:       aws.String("EntityId"), // Required
		PredictEndpoint: aws.String("VipURL"),   // Required
		Record: map[string]*string{ // Required
			"Key": aws.String("VariableValue"), // Required
			// More values...
		},
	}
	resp, err := svc.Predict(params)

	if err != nil {
		if awsErr, ok := err.(awserr.Error); ok {
			// Generic AWS error with Code, Message, and original error (if any)
			fmt.Println(awsErr.Code(), awsErr.Message(), awsErr.OrigErr())
			if reqErr, ok := err.(awserr.RequestFailure); ok {
				// A service error occurred
				fmt.Println(reqErr.Code(), reqErr.Message(), reqErr.StatusCode(), reqErr.RequestID())
			}
		} else {
			// This case should never be hit, the SDK should always return an
			// error which satisfies the awserr.Error interface.
			fmt.Println(err.Error())
		}
	}

	// Pretty-print the response data.
	fmt.Println(awsutil.Prettify(resp))
}

开发者ID:tetrafolium，项目名称:aws-sdk-go，代码行数:31，代码来源:examples_test.go

示例2: ExampleMachineLearning_UpdateMLModel

func ExampleMachineLearning_UpdateMLModel() {
	svc := machinelearning.New(nil)

	params := &machinelearning.UpdateMLModelInput{
		MLModelId:      aws.String("EntityId"), // Required
		MLModelName:    aws.String("EntityName"),
		ScoreThreshold: aws.Float64(1.0),
	}
	resp, err := svc.UpdateMLModel(params)

	if err != nil {
		if awsErr, ok := err.(awserr.Error); ok {
			// Generic AWS error with Code, Message, and original error (if any)
			fmt.Println(awsErr.Code(), awsErr.Message(), awsErr.OrigErr())
			if reqErr, ok := err.(awserr.RequestFailure); ok {
				// A service error occurred
				fmt.Println(reqErr.Code(), reqErr.Message(), reqErr.StatusCode(), reqErr.RequestID())
			}
		} else {
			// This case should never be hit, the SDK should always return an
			// error which satisfies the awserr.Error interface.
			fmt.Println(err.Error())
		}
	}

	// Pretty-print the response data.
	fmt.Println(awsutil.Prettify(resp))
}

开发者ID:tetrafolium，项目名称:aws-sdk-go，代码行数:28，代码来源:examples_test.go

示例3: ExampleMachineLearning_CreateMLModel

func ExampleMachineLearning_CreateMLModel() {
	svc := machinelearning.New(nil)

	params := &machinelearning.CreateMLModelInput{
		MLModelId:            aws.String("EntityId"),    // Required
		MLModelType:          aws.String("MLModelType"), // Required
		TrainingDataSourceId: aws.String("EntityId"),    // Required
		MLModelName:          aws.String("EntityName"),
		Parameters: map[string]*string{
			"Key": aws.String("StringType"), // Required
			// More values...
		},
		Recipe:    aws.String("Recipe"),
		RecipeUri: aws.String("S3Url"),
	}
	resp, err := svc.CreateMLModel(params)

	if err != nil {
		if awsErr, ok := err.(awserr.Error); ok {
			// Generic AWS error with Code, Message, and original error (if any)
			fmt.Println(awsErr.Code(), awsErr.Message(), awsErr.OrigErr())
			if reqErr, ok := err.(awserr.RequestFailure); ok {
				// A service error occurred
				fmt.Println(reqErr.Code(), reqErr.Message(), reqErr.StatusCode(), reqErr.RequestID())
			}
		} else {
			// This case should never be hit, the SDK should always return an
			// error which satisfies the awserr.Error interface.
			fmt.Println(err.Error())
		}
	}

	// Pretty-print the response data.
	fmt.Println(awsutil.Prettify(resp))
}

开发者ID:tetrafolium，项目名称:aws-sdk-go，代码行数:35，代码来源:examples_test.go

示例4: ExampleMachineLearning_CreateDataSourceFromS3

func ExampleMachineLearning_CreateDataSourceFromS3() {
	svc := machinelearning.New(nil)

	params := &machinelearning.CreateDataSourceFromS3Input{
		DataSourceId: aws.String("EntityId"), // Required
		DataSpec: &machinelearning.S3DataSpec{ // Required
			DataLocationS3:       aws.String("S3Url"), // Required
			DataRearrangement:    aws.String("DataRearrangement"),
			DataSchema:           aws.String("DataSchema"),
			DataSchemaLocationS3: aws.String("S3Url"),
		},
		ComputeStatistics: aws.Bool(true),
		DataSourceName:    aws.String("EntityName"),
	}
	resp, err := svc.CreateDataSourceFromS3(params)

	if err != nil {
		if awsErr, ok := err.(awserr.Error); ok {
			// Generic AWS error with Code, Message, and original error (if any)
			fmt.Println(awsErr.Code(), awsErr.Message(), awsErr.OrigErr())
			if reqErr, ok := err.(awserr.RequestFailure); ok {
				// A service error occurred
				fmt.Println(reqErr.Code(), reqErr.Message(), reqErr.StatusCode(), reqErr.RequestID())
			}
		} else {
			// This case should never be hit, the SDK should always return an
			// error which satisfies the awserr.Error interface.
			fmt.Println(err.Error())
		}
	}

	// Pretty-print the response data.
	fmt.Println(awsutil.Prettify(resp))
}

开发者ID:tetrafolium，项目名称:aws-sdk-go，代码行数:34，代码来源:examples_test.go

示例5: ExampleMachineLearning_CreateDataSourceFromRDS

func ExampleMachineLearning_CreateDataSourceFromRDS() {
	svc := machinelearning.New(nil)

	params := &machinelearning.CreateDataSourceFromRDSInput{
		DataSourceId: aws.String("EntityId"), // Required
		RDSData: &machinelearning.RDSDataSpec{ // Required
			DatabaseCredentials: &machinelearning.RDSDatabaseCredentials{ // Required
				Password: aws.String("RDSDatabasePassword"), // Required
				Username: aws.String("RDSDatabaseUsername"), // Required
			},
			DatabaseInformation: &machinelearning.RDSDatabase{ // Required
				DatabaseName:       aws.String("RDSDatabaseName"),       // Required
				InstanceIdentifier: aws.String("RDSInstanceIdentifier"), // Required
			},
			ResourceRole:      aws.String("EDPResourceRole"), // Required
			S3StagingLocation: aws.String("S3Url"),           // Required
			SecurityGroupIds: []*string{ // Required
				aws.String("EDPSecurityGroupId"), // Required
				// More values...
			},
			SelectSqlQuery:    aws.String("RDSSelectSqlQuery"), // Required
			ServiceRole:       aws.String("EDPServiceRole"),    // Required
			SubnetId:          aws.String("EDPSubnetId"),       // Required
			DataRearrangement: aws.String("DataRearrangement"),
			DataSchema:        aws.String("DataSchema"),
			DataSchemaUri:     aws.String("S3Url"),
		},
		RoleARN:           aws.String("RoleARN"), // Required
		ComputeStatistics: aws.Bool(true),
		DataSourceName:    aws.String("EntityName"),
	}
	resp, err := svc.CreateDataSourceFromRDS(params)

	if err != nil {
		if awsErr, ok := err.(awserr.Error); ok {
			// Generic AWS error with Code, Message, and original error (if any)
			fmt.Println(awsErr.Code(), awsErr.Message(), awsErr.OrigErr())
			if reqErr, ok := err.(awserr.RequestFailure); ok {
				// A service error occurred
				fmt.Println(reqErr.Code(), reqErr.Message(), reqErr.StatusCode(), reqErr.RequestID())
			}
		} else {
			// This case should never be hit, the SDK should always return an
			// error which satisfies the awserr.Error interface.
			fmt.Println(err.Error())
		}
	}

	// Pretty-print the response data.
	fmt.Println(awsutil.Prettify(resp))
}

开发者ID:tetrafolium，项目名称:aws-sdk-go，代码行数:51，代码来源:examples_test.go

示例6: TestPredictEndpoint

func TestPredictEndpoint(t *testing.T) {
	ml := machinelearning.New(nil)
	ml.Handlers.Send.Clear()
	ml.Handlers.Send.PushBack(func(r *service.Request) {
		r.HTTPResponse = &http.Response{
			StatusCode: 200,
			Header:     http.Header{},
			Body:       ioutil.NopCloser(bytes.NewReader([]byte("{}"))),
		}
	})

	req, _ := ml.PredictRequest(&machinelearning.PredictInput{
		PredictEndpoint: aws.String("https://localhost/endpoint"),
		MLModelId:       aws.String("id"),
		Record:          map[string]*string{},
	})
	err := req.Send()

	assert.Nil(t, err)
	assert.Equal(t, "https://localhost/endpoint", req.HTTPRequest.URL.String())
}

开发者ID:tetrafolium，项目名称:aws-sdk-go，代码行数:21，代码来源:customizations_test.go

示例7: ExampleMachineLearning_DescribeMLModels

func ExampleMachineLearning_DescribeMLModels() {
	svc := machinelearning.New(nil)

	params := &machinelearning.DescribeMLModelsInput{
		EQ:             aws.String("ComparatorValue"),
		FilterVariable: aws.String("MLModelFilterVariable"),
		GE:             aws.String("ComparatorValue"),
		GT:             aws.String("ComparatorValue"),
		LE:             aws.String("ComparatorValue"),
		LT:             aws.String("ComparatorValue"),
		Limit:          aws.Int64(1),
		NE:             aws.String("ComparatorValue"),
		NextToken:      aws.String("StringType"),
		Prefix:         aws.String("ComparatorValue"),
		SortOrder:      aws.String("SortOrder"),
	}
	resp, err := svc.DescribeMLModels(params)

	if err != nil {
		if awsErr, ok := err.(awserr.Error); ok {
			// Generic AWS error with Code, Message, and original error (if any)
			fmt.Println(awsErr.Code(), awsErr.Message(), awsErr.OrigErr())
			if reqErr, ok := err.(awserr.RequestFailure); ok {
				// A service error occurred
				fmt.Println(reqErr.Code(), reqErr.Message(), reqErr.StatusCode(), reqErr.RequestID())
			}
		} else {
			// This case should never be hit, the SDK should always return an
			// error which satisfies the awserr.Error interface.
			fmt.Println(err.Error())
		}
	}

	// Pretty-print the response data.
	fmt.Println(awsutil.Prettify(resp))
}

开发者ID:tetrafolium，项目名称:aws-sdk-go，代码行数:36，代码来源:examples_test.go

示例8: TestInterface

func TestInterface(t *testing.T) {
	assert.Implements(t, (*machinelearningiface.MachineLearningAPI)(nil), machinelearning.New(nil))
}

开发者ID:tetrafolium，项目名称:aws-sdk-go，代码行数:3，代码来源:interface_test.go

示例9: init

func init() {
	Before("@machinelearning", func() {
		World["client"] = machinelearning.New(nil)
	})
}

开发者ID:tetrafolium，项目名称:aws-sdk-go，代码行数:5，代码来源:client.go

注：本文中的github.com/tetrafolium/aws-sdk-go/service/machinelearning.New函数示例由纯净天空整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。