/
api_op_CreateSolution.go
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/
api_op_CreateSolution.go
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// Code generated by smithy-go-codegen DO NOT EDIT.
package personalize
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/personalize/types"
"github.com/aws/smithy-go/middleware"
smithyhttp "github.com/aws/smithy-go/transport/http"
)
// Creates the configuration for training a model. A trained model is known as a
// solution version. After the configuration is created, you train the model
// (create a solution version) by calling the CreateSolutionVersion (https://docs.aws.amazon.com/personalize/latest/dg/API_CreateSolutionVersion.html)
// operation. Every time you call CreateSolutionVersion , a new version of the
// solution is created. After creating a solution version, you check its accuracy
// by calling GetSolutionMetrics (https://docs.aws.amazon.com/personalize/latest/dg/API_GetSolutionMetrics.html)
// . When you are satisfied with the version, you deploy it using CreateCampaign (https://docs.aws.amazon.com/personalize/latest/dg/API_CreateCampaign.html)
// . The campaign provides recommendations to a client through the
// GetRecommendations (https://docs.aws.amazon.com/personalize/latest/dg/API_RS_GetRecommendations.html)
// API. To train a model, Amazon Personalize requires training data and a recipe.
// The training data comes from the dataset group that you provide in the request.
// A recipe specifies the training algorithm and a feature transformation. You can
// specify one of the predefined recipes provided by Amazon Personalize. Amazon
// Personalize doesn't support configuring the hpoObjective for solution
// hyperparameter optimization at this time. Status A solution can be in one of the
// following states:
// - CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
// - DELETE PENDING > DELETE IN_PROGRESS
//
// To get the status of the solution, call DescribeSolution (https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeSolution.html)
// . Wait until the status shows as ACTIVE before calling CreateSolutionVersion .
// Related APIs
//
// - ListSolutions (https://docs.aws.amazon.com/personalize/latest/dg/API_ListSolutions.html)
//
// - CreateSolutionVersion (https://docs.aws.amazon.com/personalize/latest/dg/API_CreateSolutionVersion.html)
//
// - DescribeSolution (https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeSolution.html)
//
// - DeleteSolution (https://docs.aws.amazon.com/personalize/latest/dg/API_DeleteSolution.html)
//
// - ListSolutionVersions (https://docs.aws.amazon.com/personalize/latest/dg/API_ListSolutionVersions.html)
//
// - DescribeSolutionVersion (https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeSolutionVersion.html)
func (c *Client) CreateSolution(ctx context.Context, params *CreateSolutionInput, optFns ...func(*Options)) (*CreateSolutionOutput, error) {
if params == nil {
params = &CreateSolutionInput{}
}
result, metadata, err := c.invokeOperation(ctx, "CreateSolution", params, optFns, c.addOperationCreateSolutionMiddlewares)
if err != nil {
return nil, err
}
out := result.(*CreateSolutionOutput)
out.ResultMetadata = metadata
return out, nil
}
type CreateSolutionInput struct {
// The Amazon Resource Name (ARN) of the dataset group that provides the training
// data.
//
// This member is required.
DatasetGroupArn *string
// The name for the solution.
//
// This member is required.
Name *string
// When your have multiple event types (using an EVENT_TYPE schema field), this
// parameter specifies which event type (for example, 'click' or 'like') is used
// for training the model. If you do not provide an eventType , Amazon Personalize
// will use all interactions for training with equal weight regardless of type.
EventType *string
// We don't recommend enabling automated machine learning. Instead, match your use
// case to the available Amazon Personalize recipes. For more information, see
// Determining your use case. (https://docs.aws.amazon.com/personalize/latest/dg/determining-use-case.html)
// Whether to perform automated machine learning (AutoML). The default is false .
// For this case, you must specify recipeArn . When set to true , Amazon
// Personalize analyzes your training data and selects the optimal
// USER_PERSONALIZATION recipe and hyperparameters. In this case, you must omit
// recipeArn . Amazon Personalize determines the optimal recipe by running tests
// with different values for the hyperparameters. AutoML lengthens the training
// process as compared to selecting a specific recipe.
PerformAutoML bool
// Whether to perform hyperparameter optimization (HPO) on the specified or
// selected recipe. The default is false . When performing AutoML, this parameter
// is always true and you should not set it to false .
PerformHPO *bool
// The ARN of the recipe to use for model training. This is required when
// performAutoML is false.
RecipeArn *string
// The configuration to use with the solution. When performAutoML is set to true,
// Amazon Personalize only evaluates the autoMLConfig section of the solution
// configuration. Amazon Personalize doesn't support configuring the hpoObjective
// at this time.
SolutionConfig *types.SolutionConfig
// A list of tags (https://docs.aws.amazon.com/personalize/latest/dg/tagging-resources.html)
// to apply to the solution.
Tags []types.Tag
noSmithyDocumentSerde
}
type CreateSolutionOutput struct {
// The ARN of the solution.
SolutionArn *string
// Metadata pertaining to the operation's result.
ResultMetadata middleware.Metadata
noSmithyDocumentSerde
}
func (c *Client) addOperationCreateSolutionMiddlewares(stack *middleware.Stack, options Options) (err error) {
if err := stack.Serialize.Add(&setOperationInputMiddleware{}, middleware.After); err != nil {
return err
}
err = stack.Serialize.Add(&awsAwsjson11_serializeOpCreateSolution{}, middleware.After)
if err != nil {
return err
}
err = stack.Deserialize.Add(&awsAwsjson11_deserializeOpCreateSolution{}, middleware.After)
if err != nil {
return err
}
if err := addProtocolFinalizerMiddlewares(stack, options, "CreateSolution"); 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 = addOpCreateSolutionValidationMiddleware(stack); err != nil {
return err
}
if err = stack.Initialize.Add(newServiceMetadataMiddleware_opCreateSolution(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_opCreateSolution(region string) *awsmiddleware.RegisterServiceMetadata {
return &awsmiddleware.RegisterServiceMetadata{
Region: region,
ServiceID: ServiceID,
OperationName: "CreateSolution",
}
}