Switch to using the dep tool and update all the dependencies
This commit is contained in:
Nick Craig-Wood
parent
5135ff73cb
commit
98c2d2c41b
5321 changed files with 4483201 additions and 5922 deletions
737
vendor/github.com/aws/aws-sdk-go/service/machinelearning/examples_test.go
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vendored
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737
vendor/github.com/aws/aws-sdk-go/service/machinelearning/examples_test.go
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// Code generated by private/model/cli/gen-api/main.go. DO NOT EDIT.
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package machinelearning_test
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import (
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"bytes"
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"fmt"
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"time"
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"github.com/aws/aws-sdk-go/aws"
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"github.com/aws/aws-sdk-go/aws/session"
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"github.com/aws/aws-sdk-go/service/machinelearning"
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)
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var _ time.Duration
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var _ bytes.Buffer
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func ExampleMachineLearning_AddTags() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.AddTagsInput{
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ResourceId: aws.String("EntityId"), // Required
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ResourceType: aws.String("TaggableResourceType"), // Required
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Tags: []*machinelearning.Tag{ // Required
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{ // Required
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Key: aws.String("TagKey"),
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Value: aws.String("TagValue"),
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},
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// More values...
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},
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}
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resp, err := svc.AddTags(params)
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if err != nil {
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// Print the error, cast err to awserr.Error to get the Code and
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// Message from an error.
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fmt.Println(err.Error())
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return
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}
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// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_CreateBatchPrediction() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.CreateBatchPredictionInput{
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BatchPredictionDataSourceId: aws.String("EntityId"), // Required
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BatchPredictionId: aws.String("EntityId"), // Required
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MLModelId: aws.String("EntityId"), // Required
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OutputUri: aws.String("S3Url"), // Required
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BatchPredictionName: aws.String("EntityName"),
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}
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resp, err := svc.CreateBatchPrediction(params)
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if err != nil {
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// Print the error, cast err to awserr.Error to get the Code and
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// Message from an error.
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fmt.Println(err.Error())
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return
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}
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// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_CreateDataSourceFromRDS() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.CreateDataSourceFromRDSInput{
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DataSourceId: aws.String("EntityId"), // Required
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RDSData: &machinelearning.RDSDataSpec{ // Required
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DatabaseCredentials: &machinelearning.RDSDatabaseCredentials{ // Required
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Password: aws.String("RDSDatabasePassword"), // Required
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Username: aws.String("RDSDatabaseUsername"), // Required
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},
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DatabaseInformation: &machinelearning.RDSDatabase{ // Required
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DatabaseName: aws.String("RDSDatabaseName"), // Required
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InstanceIdentifier: aws.String("RDSInstanceIdentifier"), // Required
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},
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ResourceRole: aws.String("EDPResourceRole"), // Required
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S3StagingLocation: aws.String("S3Url"), // Required
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SecurityGroupIds: []*string{ // Required
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aws.String("EDPSecurityGroupId"), // Required
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// More values...
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},
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SelectSqlQuery: aws.String("RDSSelectSqlQuery"), // Required
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ServiceRole: aws.String("EDPServiceRole"), // Required
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SubnetId: aws.String("EDPSubnetId"), // Required
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DataRearrangement: aws.String("DataRearrangement"),
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DataSchema: aws.String("DataSchema"),
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DataSchemaUri: aws.String("S3Url"),
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},
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RoleARN: aws.String("RoleARN"), // Required
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ComputeStatistics: aws.Bool(true),
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DataSourceName: aws.String("EntityName"),
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}
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resp, err := svc.CreateDataSourceFromRDS(params)
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if err != nil {
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// Print the error, cast err to awserr.Error to get the Code and
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// Message from an error.
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fmt.Println(err.Error())
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return
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}
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// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_CreateDataSourceFromRedshift() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.CreateDataSourceFromRedshiftInput{
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DataSourceId: aws.String("EntityId"), // Required
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DataSpec: &machinelearning.RedshiftDataSpec{ // Required
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DatabaseCredentials: &machinelearning.RedshiftDatabaseCredentials{ // Required
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Password: aws.String("RedshiftDatabasePassword"), // Required
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Username: aws.String("RedshiftDatabaseUsername"), // Required
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},
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DatabaseInformation: &machinelearning.RedshiftDatabase{ // Required
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ClusterIdentifier: aws.String("RedshiftClusterIdentifier"), // Required
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DatabaseName: aws.String("RedshiftDatabaseName"), // Required
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},
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S3StagingLocation: aws.String("S3Url"), // Required
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SelectSqlQuery: aws.String("RedshiftSelectSqlQuery"), // Required
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DataRearrangement: aws.String("DataRearrangement"),
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DataSchema: aws.String("DataSchema"),
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DataSchemaUri: aws.String("S3Url"),
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},
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RoleARN: aws.String("RoleARN"), // Required
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ComputeStatistics: aws.Bool(true),
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DataSourceName: aws.String("EntityName"),
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}
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resp, err := svc.CreateDataSourceFromRedshift(params)
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if err != nil {
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// Print the error, cast err to awserr.Error to get the Code and
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// Message from an error.
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fmt.Println(err.Error())
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return
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}
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// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_CreateDataSourceFromS3() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.CreateDataSourceFromS3Input{
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DataSourceId: aws.String("EntityId"), // Required
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DataSpec: &machinelearning.S3DataSpec{ // Required
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DataLocationS3: aws.String("S3Url"), // Required
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DataRearrangement: aws.String("DataRearrangement"),
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DataSchema: aws.String("DataSchema"),
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DataSchemaLocationS3: aws.String("S3Url"),
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},
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ComputeStatistics: aws.Bool(true),
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DataSourceName: aws.String("EntityName"),
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}
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resp, err := svc.CreateDataSourceFromS3(params)
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if err != nil {
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// Print the error, cast err to awserr.Error to get the Code and
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// Message from an error.
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fmt.Println(err.Error())
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return
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}
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// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_CreateEvaluation() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.CreateEvaluationInput{
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EvaluationDataSourceId: aws.String("EntityId"), // Required
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EvaluationId: aws.String("EntityId"), // Required
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MLModelId: aws.String("EntityId"), // Required
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EvaluationName: aws.String("EntityName"),
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}
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resp, err := svc.CreateEvaluation(params)
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if err != nil {
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// Print the error, cast err to awserr.Error to get the Code and
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// Message from an error.
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fmt.Println(err.Error())
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return
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}
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// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_CreateMLModel() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.CreateMLModelInput{
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MLModelId: aws.String("EntityId"), // Required
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MLModelType: aws.String("MLModelType"), // Required
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TrainingDataSourceId: aws.String("EntityId"), // Required
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MLModelName: aws.String("EntityName"),
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Parameters: map[string]*string{
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"Key": aws.String("StringType"), // Required
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// More values...
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},
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Recipe: aws.String("Recipe"),
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RecipeUri: aws.String("S3Url"),
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}
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resp, err := svc.CreateMLModel(params)
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if err != nil {
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// Print the error, cast err to awserr.Error to get the Code and
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// Message from an error.
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fmt.Println(err.Error())
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return
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}
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// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_CreateRealtimeEndpoint() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.CreateRealtimeEndpointInput{
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MLModelId: aws.String("EntityId"), // Required
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}
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resp, err := svc.CreateRealtimeEndpoint(params)
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if err != nil {
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// Print the error, cast err to awserr.Error to get the Code and
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// Message from an error.
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fmt.Println(err.Error())
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return
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}
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// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_DeleteBatchPrediction() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.DeleteBatchPredictionInput{
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BatchPredictionId: aws.String("EntityId"), // Required
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}
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resp, err := svc.DeleteBatchPrediction(params)
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if err != nil {
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// Print the error, cast err to awserr.Error to get the Code and
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// Message from an error.
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fmt.Println(err.Error())
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return
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}
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// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_DeleteDataSource() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.DeleteDataSourceInput{
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DataSourceId: aws.String("EntityId"), // Required
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}
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resp, err := svc.DeleteDataSource(params)
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if err != nil {
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// Print the error, cast err to awserr.Error to get the Code and
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// Message from an error.
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fmt.Println(err.Error())
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return
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}
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// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_DeleteEvaluation() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.DeleteEvaluationInput{
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EvaluationId: aws.String("EntityId"), // Required
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}
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resp, err := svc.DeleteEvaluation(params)
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if err != nil {
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// Print the error, cast err to awserr.Error to get the Code and
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// Message from an error.
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fmt.Println(err.Error())
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return
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}
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// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_DeleteMLModel() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.DeleteMLModelInput{
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MLModelId: aws.String("EntityId"), // Required
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}
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resp, err := svc.DeleteMLModel(params)
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if err != nil {
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// Print the error, cast err to awserr.Error to get the Code and
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// Message from an error.
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fmt.Println(err.Error())
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return
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}
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// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_DeleteRealtimeEndpoint() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.DeleteRealtimeEndpointInput{
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MLModelId: aws.String("EntityId"), // Required
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}
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resp, err := svc.DeleteRealtimeEndpoint(params)
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if err != nil {
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// Print the error, cast err to awserr.Error to get the Code and
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// Message from an error.
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fmt.Println(err.Error())
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return
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}
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// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_DeleteTags() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.DeleteTagsInput{
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ResourceId: aws.String("EntityId"), // Required
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ResourceType: aws.String("TaggableResourceType"), // Required
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TagKeys: []*string{ // Required
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aws.String("TagKey"), // Required
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// More values...
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},
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}
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resp, err := svc.DeleteTags(params)
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if err != nil {
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// Print the error, cast err to awserr.Error to get the Code and
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// Message from an error.
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fmt.Println(err.Error())
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return
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}
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// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_DescribeBatchPredictions() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.DescribeBatchPredictionsInput{
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EQ: aws.String("ComparatorValue"),
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FilterVariable: aws.String("BatchPredictionFilterVariable"),
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GE: aws.String("ComparatorValue"),
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GT: aws.String("ComparatorValue"),
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LE: aws.String("ComparatorValue"),
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LT: aws.String("ComparatorValue"),
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Limit: aws.Int64(1),
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NE: aws.String("ComparatorValue"),
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NextToken: aws.String("StringType"),
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Prefix: aws.String("ComparatorValue"),
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SortOrder: aws.String("SortOrder"),
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}
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resp, err := svc.DescribeBatchPredictions(params)
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if err != nil {
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// Print the error, cast err to awserr.Error to get the Code and
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// Message from an error.
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fmt.Println(err.Error())
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return
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}
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// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_DescribeDataSources() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.DescribeDataSourcesInput{
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EQ: aws.String("ComparatorValue"),
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FilterVariable: aws.String("DataSourceFilterVariable"),
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GE: aws.String("ComparatorValue"),
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GT: aws.String("ComparatorValue"),
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LE: aws.String("ComparatorValue"),
|
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LT: aws.String("ComparatorValue"),
|
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Limit: aws.Int64(1),
|
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NE: aws.String("ComparatorValue"),
|
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NextToken: aws.String("StringType"),
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Prefix: aws.String("ComparatorValue"),
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SortOrder: aws.String("SortOrder"),
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}
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resp, err := svc.DescribeDataSources(params)
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if err != nil {
|
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// Print the error, cast err to awserr.Error to get the Code and
|
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// Message from an error.
|
||||
fmt.Println(err.Error())
|
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return
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}
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||||
|
||||
// Pretty-print the response data.
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fmt.Println(resp)
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}
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func ExampleMachineLearning_DescribeEvaluations() {
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
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params := &machinelearning.DescribeEvaluationsInput{
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EQ: aws.String("ComparatorValue"),
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FilterVariable: aws.String("EvaluationFilterVariable"),
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GE: aws.String("ComparatorValue"),
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GT: aws.String("ComparatorValue"),
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LE: aws.String("ComparatorValue"),
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LT: aws.String("ComparatorValue"),
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Limit: aws.Int64(1),
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NE: aws.String("ComparatorValue"),
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NextToken: aws.String("StringType"),
|
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Prefix: aws.String("ComparatorValue"),
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SortOrder: aws.String("SortOrder"),
|
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}
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resp, err := svc.DescribeEvaluations(params)
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|
||||
if err != nil {
|
||||
// Print the error, cast err to awserr.Error to get the Code and
|
||||
// Message from an error.
|
||||
fmt.Println(err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
// Pretty-print the response data.
|
||||
fmt.Println(resp)
|
||||
}
|
||||
|
||||
func ExampleMachineLearning_DescribeMLModels() {
|
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sess := session.Must(session.NewSession())
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svc := machinelearning.New(sess)
|
||||
|
||||
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 {
|
||||
// Print the error, cast err to awserr.Error to get the Code and
|
||||
// Message from an error.
|
||||
fmt.Println(err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
// Pretty-print the response data.
|
||||
fmt.Println(resp)
|
||||
}
|
||||
|
||||
func ExampleMachineLearning_DescribeTags() {
|
||||
sess := session.Must(session.NewSession())
|
||||
|
||||
svc := machinelearning.New(sess)
|
||||
|
||||
params := &machinelearning.DescribeTagsInput{
|
||||
ResourceId: aws.String("EntityId"), // Required
|
||||
ResourceType: aws.String("TaggableResourceType"), // Required
|
||||
}
|
||||
resp, err := svc.DescribeTags(params)
|
||||
|
||||
if err != nil {
|
||||
// Print the error, cast err to awserr.Error to get the Code and
|
||||
// Message from an error.
|
||||
fmt.Println(err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
// Pretty-print the response data.
|
||||
fmt.Println(resp)
|
||||
}
|
||||
|
||||
func ExampleMachineLearning_GetBatchPrediction() {
|
||||
sess := session.Must(session.NewSession())
|
||||
|
||||
svc := machinelearning.New(sess)
|
||||
|
||||
params := &machinelearning.GetBatchPredictionInput{
|
||||
BatchPredictionId: aws.String("EntityId"), // Required
|
||||
}
|
||||
resp, err := svc.GetBatchPrediction(params)
|
||||
|
||||
if err != nil {
|
||||
// Print the error, cast err to awserr.Error to get the Code and
|
||||
// Message from an error.
|
||||
fmt.Println(err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
// Pretty-print the response data.
|
||||
fmt.Println(resp)
|
||||
}
|
||||
|
||||
func ExampleMachineLearning_GetDataSource() {
|
||||
sess := session.Must(session.NewSession())
|
||||
|
||||
svc := machinelearning.New(sess)
|
||||
|
||||
params := &machinelearning.GetDataSourceInput{
|
||||
DataSourceId: aws.String("EntityId"), // Required
|
||||
Verbose: aws.Bool(true),
|
||||
}
|
||||
resp, err := svc.GetDataSource(params)
|
||||
|
||||
if err != nil {
|
||||
// Print the error, cast err to awserr.Error to get the Code and
|
||||
// Message from an error.
|
||||
fmt.Println(err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
// Pretty-print the response data.
|
||||
fmt.Println(resp)
|
||||
}
|
||||
|
||||
func ExampleMachineLearning_GetEvaluation() {
|
||||
sess := session.Must(session.NewSession())
|
||||
|
||||
svc := machinelearning.New(sess)
|
||||
|
||||
params := &machinelearning.GetEvaluationInput{
|
||||
EvaluationId: aws.String("EntityId"), // Required
|
||||
}
|
||||
resp, err := svc.GetEvaluation(params)
|
||||
|
||||
if err != nil {
|
||||
// Print the error, cast err to awserr.Error to get the Code and
|
||||
// Message from an error.
|
||||
fmt.Println(err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
// Pretty-print the response data.
|
||||
fmt.Println(resp)
|
||||
}
|
||||
|
||||
func ExampleMachineLearning_GetMLModel() {
|
||||
sess := session.Must(session.NewSession())
|
||||
|
||||
svc := machinelearning.New(sess)
|
||||
|
||||
params := &machinelearning.GetMLModelInput{
|
||||
MLModelId: aws.String("EntityId"), // Required
|
||||
Verbose: aws.Bool(true),
|
||||
}
|
||||
resp, err := svc.GetMLModel(params)
|
||||
|
||||
if err != nil {
|
||||
// Print the error, cast err to awserr.Error to get the Code and
|
||||
// Message from an error.
|
||||
fmt.Println(err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
// Pretty-print the response data.
|
||||
fmt.Println(resp)
|
||||
}
|
||||
|
||||
func ExampleMachineLearning_Predict() {
|
||||
sess := session.Must(session.NewSession())
|
||||
|
||||
svc := machinelearning.New(sess)
|
||||
|
||||
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 {
|
||||
// Print the error, cast err to awserr.Error to get the Code and
|
||||
// Message from an error.
|
||||
fmt.Println(err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
// Pretty-print the response data.
|
||||
fmt.Println(resp)
|
||||
}
|
||||
|
||||
func ExampleMachineLearning_UpdateBatchPrediction() {
|
||||
sess := session.Must(session.NewSession())
|
||||
|
||||
svc := machinelearning.New(sess)
|
||||
|
||||
params := &machinelearning.UpdateBatchPredictionInput{
|
||||
BatchPredictionId: aws.String("EntityId"), // Required
|
||||
BatchPredictionName: aws.String("EntityName"), // Required
|
||||
}
|
||||
resp, err := svc.UpdateBatchPrediction(params)
|
||||
|
||||
if err != nil {
|
||||
// Print the error, cast err to awserr.Error to get the Code and
|
||||
// Message from an error.
|
||||
fmt.Println(err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
// Pretty-print the response data.
|
||||
fmt.Println(resp)
|
||||
}
|
||||
|
||||
func ExampleMachineLearning_UpdateDataSource() {
|
||||
sess := session.Must(session.NewSession())
|
||||
|
||||
svc := machinelearning.New(sess)
|
||||
|
||||
params := &machinelearning.UpdateDataSourceInput{
|
||||
DataSourceId: aws.String("EntityId"), // Required
|
||||
DataSourceName: aws.String("EntityName"), // Required
|
||||
}
|
||||
resp, err := svc.UpdateDataSource(params)
|
||||
|
||||
if err != nil {
|
||||
// Print the error, cast err to awserr.Error to get the Code and
|
||||
// Message from an error.
|
||||
fmt.Println(err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
// Pretty-print the response data.
|
||||
fmt.Println(resp)
|
||||
}
|
||||
|
||||
func ExampleMachineLearning_UpdateEvaluation() {
|
||||
sess := session.Must(session.NewSession())
|
||||
|
||||
svc := machinelearning.New(sess)
|
||||
|
||||
params := &machinelearning.UpdateEvaluationInput{
|
||||
EvaluationId: aws.String("EntityId"), // Required
|
||||
EvaluationName: aws.String("EntityName"), // Required
|
||||
}
|
||||
resp, err := svc.UpdateEvaluation(params)
|
||||
|
||||
if err != nil {
|
||||
// Print the error, cast err to awserr.Error to get the Code and
|
||||
// Message from an error.
|
||||
fmt.Println(err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
// Pretty-print the response data.
|
||||
fmt.Println(resp)
|
||||
}
|
||||
|
||||
func ExampleMachineLearning_UpdateMLModel() {
|
||||
sess := session.Must(session.NewSession())
|
||||
|
||||
svc := machinelearning.New(sess)
|
||||
|
||||
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 {
|
||||
// Print the error, cast err to awserr.Error to get the Code and
|
||||
// Message from an error.
|
||||
fmt.Println(err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
// Pretty-print the response data.
|
||||
fmt.Println(resp)
|
||||
}
|
||||
Loading…
Add table
Add a link
Reference in a new issue