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// Code generated by smithy-go-codegen DO NOT EDIT.
package machinelearning
import (
"context"
"fmt"
awsmiddleware "github.com/aws/aws-sdk-go-v2/aws/middleware"
"github.com/aws/aws-sdk-go-v2/aws/signer/v4"
"github.com/aws/aws-sdk-go-v2/service/machinelearning/types"
"github.com/aws/smithy-go/middleware"
smithyhttp "github.com/aws/smithy-go/transport/http"
)
// Creates a DataSource object. A DataSource references data that can be used to
// perform CreateMLModel , CreateEvaluation , or CreateBatchPrediction operations.
// CreateDataSourceFromS3 is an asynchronous operation. In response to
// CreateDataSourceFromS3 , Amazon Machine Learning (Amazon ML) immediately returns
// and sets the DataSource status to PENDING . After the DataSource has been
// created and is ready for use, Amazon ML sets the Status parameter to COMPLETED .
// DataSource in the COMPLETED or PENDING state can be used to perform only
// CreateMLModel , CreateEvaluation or CreateBatchPrediction operations. If Amazon
// ML can't accept the input source, it sets the Status parameter to FAILED and
// includes an error message in the Message attribute of the GetDataSource
// operation response. The observation data used in a DataSource should be ready
// to use; that is, it should have a consistent structure, and missing data values
// should be kept to a minimum. The observation data must reside in one or more
// .csv files in an Amazon Simple Storage Service (Amazon S3) location, along with
// a schema that describes the data items by name and type. The same schema must be
// used for all of the data files referenced by the DataSource . After the
// DataSource has been created, it's ready to use in evaluations and batch
// predictions. If you plan to use the DataSource to train an MLModel , the
// DataSource also needs a recipe. A recipe describes how each input variable will
// be used in training an MLModel . Will the variable be included or excluded from
// training? Will the variable be manipulated; for example, will it be combined
// with another variable or will it be split apart into word combinations? The
// recipe provides answers to these questions.
func (c *Client) CreateDataSourceFromS3(ctx context.Context, params *CreateDataSourceFromS3Input, optFns ...func(*Options)) (*CreateDataSourceFromS3Output, error) {
if params == nil {
params = &CreateDataSourceFromS3Input{}
}
result, metadata, err := c.invokeOperation(ctx, "CreateDataSourceFromS3", params, optFns, c.addOperationCreateDataSourceFromS3Middlewares)
if err != nil {
return nil, err
}
out := result.(*CreateDataSourceFromS3Output)
out.ResultMetadata = metadata
return out, nil
}
type CreateDataSourceFromS3Input struct {
// A user-supplied identifier that uniquely identifies the DataSource .
//
// This member is required.
DataSourceId *string
// The data specification of a DataSource :
// - DataLocationS3 - The Amazon S3 location of the observation data.
// - DataSchemaLocationS3 - The Amazon S3 location of the DataSchema .
// - DataSchema - A JSON string representing the schema. This is not required if
// DataSchemaUri is specified.
// - DataRearrangement - A JSON string that represents the splitting and
// rearrangement requirements for the Datasource . Sample -
// "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
//
// This member is required.
DataSpec *types.S3DataSpec
// The compute statistics for a DataSource . The statistics are generated from the
// observation data referenced by a DataSource . Amazon ML uses the statistics
// internally during MLModel training. This parameter must be set to true if the
// DataSource needs to be used for MLModel training.
ComputeStatistics bool
// A user-supplied name or description of the DataSource .
DataSourceName *string
noSmithyDocumentSerde
}
// Represents the output of a CreateDataSourceFromS3 operation, and is an
// acknowledgement that Amazon ML received the request. The CreateDataSourceFromS3
// operation is asynchronous. You can poll for updates by using the
// GetBatchPrediction operation and checking the Status parameter.
type CreateDataSourceFromS3Output struct {
// A user-supplied ID that uniquely identifies the DataSource . This value should
// be identical to the value of the DataSourceID in the request.
DataSourceId *string
// Metadata pertaining to the operation's result.
ResultMetadata middleware.Metadata
noSmithyDocumentSerde
}
func (c *Client) addOperationCreateDataSourceFromS3Middlewares(stack *middleware.Stack, options Options) (err error) {
if err := stack.Serialize.Add(&setOperationInputMiddleware{}, middleware.After); err != nil {
return err
}
err = stack.Serialize.Add(&awsAwsjson11_serializeOpCreateDataSourceFromS3{}, middleware.After)
if err != nil {
return err
}
err = stack.Deserialize.Add(&awsAwsjson11_deserializeOpCreateDataSourceFromS3{}, middleware.After)
if err != nil {
return err
}
if err := addProtocolFinalizerMiddlewares(stack, options, "CreateDataSourceFromS3"); err != nil {
return fmt.Errorf("add protocol finalizers: %v", err)
}
if err = addlegacyEndpointContextSetter(stack, options); err != nil {
return err
}
if err = addSetLoggerMiddleware(stack, options); err != nil {
return err
}
if err = awsmiddleware.AddClientRequestIDMiddleware(stack); err != nil {
return err
}
if err = smithyhttp.AddComputeContentLengthMiddleware(stack); err != nil {
return err
}
if err = addResolveEndpointMiddleware(stack, options); err != nil {
return err
}
if err = v4.AddComputePayloadSHA256Middleware(stack); err != nil {
return err
}
if err = addRetryMiddlewares(stack, options); err != nil {
return err
}
if err = awsmiddleware.AddRawResponseToMetadata(stack); err != nil {
return err
}
if err = awsmiddleware.AddRecordResponseTiming(stack); err != nil {
return err
}
if err = addClientUserAgent(stack, options); err != nil {
return err
}
if err = smithyhttp.AddErrorCloseResponseBodyMiddleware(stack); err != nil {
return err
}
if err = smithyhttp.AddCloseResponseBodyMiddleware(stack); err != nil {
return err
}
if err = addSetLegacyContextSigningOptionsMiddleware(stack); err != nil {
return err
}
if err = addOpCreateDataSourceFromS3ValidationMiddleware(stack); err != nil {
return err
}
if err = stack.Initialize.Add(newServiceMetadataMiddleware_opCreateDataSourceFromS3(options.Region), middleware.Before); err != nil {
return err
}
if err = awsmiddleware.AddRecursionDetection(stack); err != nil {
return err
}
if err = addRequestIDRetrieverMiddleware(stack); err != nil {
return err
}
if err = addResponseErrorMiddleware(stack); err != nil {
return err
}
if err = addRequestResponseLogging(stack, options); err != nil {
return err
}
if err = addDisableHTTPSMiddleware(stack, options); err != nil {
return err
}
return nil
}
func newServiceMetadataMiddleware_opCreateDataSourceFromS3(region string) *awsmiddleware.RegisterServiceMetadata {
return &awsmiddleware.RegisterServiceMetadata{
Region: region,
ServiceID: ServiceID,
OperationName: "CreateDataSourceFromS3",
}
}
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