/
api_op_CreateBatchPrediction.go
176 lines (157 loc) · 5.86 KB
/
api_op_CreateBatchPrediction.go
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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/smithy-go/middleware"
smithyhttp "github.com/aws/smithy-go/transport/http"
)
// Generates predictions for a group of observations. The observations to process
// exist in one or more data files referenced by a DataSource . This operation
// creates a new BatchPrediction , and uses an MLModel and the data files
// referenced by the DataSource as information sources. CreateBatchPrediction is
// an asynchronous operation. In response to CreateBatchPrediction , Amazon Machine
// Learning (Amazon ML) immediately returns and sets the BatchPrediction status to
// PENDING . After the BatchPrediction completes, Amazon ML sets the status to
// COMPLETED . You can poll for status updates by using the GetBatchPrediction
// operation and checking the Status parameter of the result. After the COMPLETED
// status appears, the results are available in the location specified by the
// OutputUri parameter.
func (c *Client) CreateBatchPrediction(ctx context.Context, params *CreateBatchPredictionInput, optFns ...func(*Options)) (*CreateBatchPredictionOutput, error) {
if params == nil {
params = &CreateBatchPredictionInput{}
}
result, metadata, err := c.invokeOperation(ctx, "CreateBatchPrediction", params, optFns, c.addOperationCreateBatchPredictionMiddlewares)
if err != nil {
return nil, err
}
out := result.(*CreateBatchPredictionOutput)
out.ResultMetadata = metadata
return out, nil
}
type CreateBatchPredictionInput struct {
// The ID of the DataSource that points to the group of observations to predict.
//
// This member is required.
BatchPredictionDataSourceId *string
// A user-supplied ID that uniquely identifies the BatchPrediction .
//
// This member is required.
BatchPredictionId *string
// The ID of the MLModel that will generate predictions for the group of
// observations.
//
// This member is required.
MLModelId *string
// The location of an Amazon Simple Storage Service (Amazon S3) bucket or
// directory to store the batch prediction results. The following substrings are
// not allowed in the s3 key portion of the outputURI field: ':', '//', '/./',
// '/../'. Amazon ML needs permissions to store and retrieve the logs on your
// behalf. For information about how to set permissions, see the Amazon Machine
// Learning Developer Guide (https://docs.aws.amazon.com/machine-learning/latest/dg)
// .
//
// This member is required.
OutputUri *string
// A user-supplied name or description of the BatchPrediction . BatchPredictionName
// can only use the UTF-8 character set.
BatchPredictionName *string
noSmithyDocumentSerde
}
// Represents the output of a CreateBatchPrediction operation, and is an
// acknowledgement that Amazon ML received the request. The CreateBatchPrediction
// operation is asynchronous. You can poll for status updates by using the
// >GetBatchPrediction operation and checking the Status parameter of the result.
type CreateBatchPredictionOutput struct {
// A user-supplied ID that uniquely identifies the BatchPrediction . This value is
// identical to the value of the BatchPredictionId in the request.
BatchPredictionId *string
// Metadata pertaining to the operation's result.
ResultMetadata middleware.Metadata
noSmithyDocumentSerde
}
func (c *Client) addOperationCreateBatchPredictionMiddlewares(stack *middleware.Stack, options Options) (err error) {
if err := stack.Serialize.Add(&setOperationInputMiddleware{}, middleware.After); err != nil {
return err
}
err = stack.Serialize.Add(&awsAwsjson11_serializeOpCreateBatchPrediction{}, middleware.After)
if err != nil {
return err
}
err = stack.Deserialize.Add(&awsAwsjson11_deserializeOpCreateBatchPrediction{}, middleware.After)
if err != nil {
return err
}
if err := addProtocolFinalizerMiddlewares(stack, options, "CreateBatchPrediction"); 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 = addClientRequestID(stack); err != nil {
return err
}
if err = addComputeContentLength(stack); err != nil {
return err
}
if err = addResolveEndpointMiddleware(stack, options); err != nil {
return err
}
if err = addComputePayloadSHA256(stack); err != nil {
return err
}
if err = addRetry(stack, options); err != nil {
return err
}
if err = addRawResponseToMetadata(stack); err != nil {
return err
}
if err = 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 = addOpCreateBatchPredictionValidationMiddleware(stack); err != nil {
return err
}
if err = stack.Initialize.Add(newServiceMetadataMiddleware_opCreateBatchPrediction(options.Region), middleware.Before); err != nil {
return err
}
if err = 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_opCreateBatchPrediction(region string) *awsmiddleware.RegisterServiceMetadata {
return &awsmiddleware.RegisterServiceMetadata{
Region: region,
ServiceID: ServiceID,
OperationName: "CreateBatchPrediction",
}
}