Add Machinelearning Cleanup

resources/machinelearning-batchpredictions.go

@@ -0,0 +1,60 @@
+package resources
+
+import (
+	"github.com/aws/aws-sdk-go/aws"
+	"github.com/aws/aws-sdk-go/aws/session"
+	"github.com/aws/aws-sdk-go/service/machinelearning"
+)
+
+type MachineLearningBranchPrediction struct {
+	svc *machinelearning.MachineLearning
+	ID  *string
+}
+
+func init() {
+	register("MachineLearningBranchPrediction", ListMachineLearningBranchPredictions)
+}
+
+func ListMachineLearningBranchPredictions(sess *session.Session) ([]Resource, error) {
+	svc := machinelearning.New(sess)
+	resources := []Resource{}
+
+	params := &machinelearning.DescribeBatchPredictionsInput{
+		Limit: aws.Int64(100),
+	}
+
+	for {
+		output, err := svc.DescribeBatchPredictions(params)
+		if err != nil {
+			return nil, err
+		}
+
+		for _, result := range output.Results {
+			resources = append(resources, &MachineLearningBranchPrediction{
+				svc: svc,
+				ID:  result.BatchPredictionId,
+			})
+		}
+
+		if output.NextToken == nil {
+			break
+		}
+
+		params.NextToken = output.NextToken
+	}
+
+	return resources, nil
+}
+
+func (f *MachineLearningBranchPrediction) Remove() error {
+
+	_, err := f.svc.DeleteBatchPrediction(&machinelearning.DeleteBatchPredictionInput{
+		BatchPredictionId: f.ID,
+	})
+
+	return err
+}
+
+func (f *MachineLearningBranchPrediction) String() string {
+	return *f.ID
+}

resources/machinelearning-datasources.go

@@ -0,0 +1,60 @@
+package resources
+
+import (
+	"github.com/aws/aws-sdk-go/aws"
+	"github.com/aws/aws-sdk-go/aws/session"
+	"github.com/aws/aws-sdk-go/service/machinelearning"
+)
+
+type MachineLearningDataSource struct {
+	svc *machinelearning.MachineLearning
+	ID  *string
+}
+
+func init() {
+	register("MachineLearningDataSource", ListMachineLearningDataSources)
+}
+
+func ListMachineLearningDataSources(sess *session.Session) ([]Resource, error) {
+	svc := machinelearning.New(sess)
+	resources := []Resource{}
+
+	params := &machinelearning.DescribeDataSourcesInput{
+		Limit: aws.Int64(100),
+	}
+
+	for {
+		output, err := svc.DescribeDataSources(params)
+		if err != nil {
+			return nil, err
+		}
+
+		for _, result := range output.Results {
+			resources = append(resources, &MachineLearningDataSource{
+				svc: svc,
+				ID:  result.DataSourceId,
+			})
+		}
+
+		if output.NextToken == nil {
+			break
+		}
+
+		params.NextToken = output.NextToken
+	}
+
+	return resources, nil
+}
+
+func (f *MachineLearningDataSource) Remove() error {
+
+	_, err := f.svc.DeleteDataSource(&machinelearning.DeleteDataSourceInput{
+		DataSourceId: f.ID,
+	})
+
+	return err
+}
+
+func (f *MachineLearningDataSource) String() string {
+	return *f.ID
+}

resources/machinelearning-evaluations.go

@@ -0,0 +1,60 @@
+package resources
+
+import (
+	"github.com/aws/aws-sdk-go/aws"
+	"github.com/aws/aws-sdk-go/aws/session"
+	"github.com/aws/aws-sdk-go/service/machinelearning"
+)
+
+type MachineLearningEvaluation struct {
+	svc *machinelearning.MachineLearning
+	ID  *string
+}
+
+func init() {
+	register("MachineLearningEvaluation", ListMachineLearningEvaluations)
+}
+
+func ListMachineLearningEvaluations(sess *session.Session) ([]Resource, error) {
+	svc := machinelearning.New(sess)
+	resources := []Resource{}
+
+	params := &machinelearning.DescribeEvaluationsInput{
+		Limit: aws.Int64(100),
+	}
+
+	for {
+		output, err := svc.DescribeEvaluations(params)
+		if err != nil {
+			return nil, err
+		}
+
+		for _, result := range output.Results {
+			resources = append(resources, &MachineLearningEvaluation{
+				svc: svc,
+				ID:  result.EvaluationId,
+			})
+		}
+
+		if output.NextToken == nil {
+			break
+		}
+
+		params.NextToken = output.NextToken
+	}
+
+	return resources, nil
+}
+
+func (f *MachineLearningEvaluation) Remove() error {
+
+	_, err := f.svc.DeleteEvaluation(&machinelearning.DeleteEvaluationInput{
+		EvaluationId: f.ID,
+	})
+
+	return err
+}
+
+func (f *MachineLearningEvaluation) String() string {
+	return *f.ID
+}

resources/machinelearning-mlmodels.go

@@ -0,0 +1,60 @@
+package resources
+
+import (
+	"github.com/aws/aws-sdk-go/aws"
+	"github.com/aws/aws-sdk-go/aws/session"
+	"github.com/aws/aws-sdk-go/service/machinelearning"
+)
+
+type MachineLearningMLModel struct {
+	svc *machinelearning.MachineLearning
+	ID  *string
+}
+
+func init() {
+	register("MachineLearningMLModel", ListMachineLearningMLModels)
+}
+
+func ListMachineLearningMLModels(sess *session.Session) ([]Resource, error) {
+	svc := machinelearning.New(sess)
+	resources := []Resource{}
+
+	params := &machinelearning.DescribeMLModelsInput{
+		Limit: aws.Int64(100),
+	}
+
+	for {
+		output, err := svc.DescribeMLModels(params)
+		if err != nil {
+			return nil, err
+		}
+
+		for _, result := range output.Results {
+			resources = append(resources, &MachineLearningMLModel{
+				svc: svc,
+				ID:  result.MLModelId,
+			})
+		}
+
+		if output.NextToken == nil {
+			break
+		}
+
+		params.NextToken = output.NextToken
+	}
+
+	return resources, nil
+}
+
+func (f *MachineLearningMLModel) Remove() error {
+
+	_, err := f.svc.DeleteMLModel(&machinelearning.DeleteMLModelInput{
+		MLModelId: f.ID,
+	})
+
+	return err
+}
+
+func (f *MachineLearningMLModel) String() string {
+	return *f.ID
+}