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// Code generated by smithy-go-codegen DO NOT EDIT.
package sagemaker
import (
"context"
"fmt"
awsmiddleware "github.com/aws/aws-sdk-go-v2/aws/middleware"
"github.com/aws/aws-sdk-go-v2/service/sagemaker/types"
"github.com/aws/smithy-go/middleware"
smithyhttp "github.com/aws/smithy-go/transport/http"
)
// Creates a model in SageMaker. In the request, you name the model and describe a
// primary container. For the primary container, you specify the Docker image that
// contains inference code, artifacts (from prior training), and a custom
// environment map that the inference code uses when you deploy the model for
// predictions.
//
// Use this API to create a model if you want to use SageMaker hosting services or
// run a batch transform job.
//
// To host your model, you create an endpoint configuration with the
// CreateEndpointConfig API, and then create an endpoint with the CreateEndpoint
// API. SageMaker then deploys all of the containers that you defined for the model
// in the hosting environment.
//
// To run a batch transform using your model, you start a job with the
// CreateTransformJob API. SageMaker uses your model and your dataset to get
// inferences which are then saved to a specified S3 location.
//
// In the request, you also provide an IAM role that SageMaker can assume to
// access model artifacts and docker image for deployment on ML compute hosting
// instances or for batch transform jobs. In addition, you also use the IAM role to
// manage permissions the inference code needs. For example, if the inference code
// access any other Amazon Web Services resources, you grant necessary permissions
// via this role.
func (c *Client) CreateModel(ctx context.Context, params *CreateModelInput, optFns ...func(*Options)) (*CreateModelOutput, error) {
if params == nil {
params = &CreateModelInput{}
}
result, metadata, err := c.invokeOperation(ctx, "CreateModel", params, optFns, c.addOperationCreateModelMiddlewares)
if err != nil {
return nil, err
}
out := result.(*CreateModelOutput)
out.ResultMetadata = metadata
return out, nil
}
type CreateModelInput struct {
// The name of the new model.
//
// This member is required.
ModelName *string
// Specifies the containers in the inference pipeline.
Containers []types.ContainerDefinition
// Isolates the model container. No inbound or outbound network calls can be made
// to or from the model container.
EnableNetworkIsolation *bool
// The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to
// access model artifacts and docker image for deployment on ML compute instances
// or for batch transform jobs. Deploying on ML compute instances is part of model
// hosting. For more information, see [SageMaker Roles].
//
// To be able to pass this role to SageMaker, the caller of this API must have the
// iam:PassRole permission.
//
// [SageMaker Roles]: https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html
ExecutionRoleArn *string
// Specifies details of how containers in a multi-container endpoint are called.
InferenceExecutionConfig *types.InferenceExecutionConfig
// The location of the primary docker image containing inference code, associated
// artifacts, and custom environment map that the inference code uses when the
// model is deployed for predictions.
PrimaryContainer *types.ContainerDefinition
// An array of key-value pairs. You can use tags to categorize your Amazon Web
// Services resources in different ways, for example, by purpose, owner, or
// environment. For more information, see [Tagging Amazon Web Services Resources].
//
// [Tagging Amazon Web Services Resources]: https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html
Tags []types.Tag
// A [VpcConfig] object that specifies the VPC that you want your model to connect to.
// Control access to and from your model container by configuring the VPC.
// VpcConfig is used in hosting services and in batch transform. For more
// information, see [Protect Endpoints by Using an Amazon Virtual Private Cloud]and [Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud].
//
// [Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud]: https://docs.aws.amazon.com/sagemaker/latest/dg/batch-vpc.html
// [VpcConfig]: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_VpcConfig.html
// [Protect Endpoints by Using an Amazon Virtual Private Cloud]: https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html
VpcConfig *types.VpcConfig
noSmithyDocumentSerde
}
type CreateModelOutput struct {
// The ARN of the model created in SageMaker.
//
// This member is required.
ModelArn *string
// Metadata pertaining to the operation's result.
ResultMetadata middleware.Metadata
noSmithyDocumentSerde
}
func (c *Client) addOperationCreateModelMiddlewares(stack *middleware.Stack, options Options) (err error) {
if err := stack.Serialize.Add(&setOperationInputMiddleware{}, middleware.After); err != nil {
return err
}
err = stack.Serialize.Add(&awsAwsjson11_serializeOpCreateModel{}, middleware.After)
if err != nil {
return err
}
err = stack.Deserialize.Add(&awsAwsjson11_deserializeOpCreateModel{}, middleware.After)
if err != nil {
return err
}
if err := addProtocolFinalizerMiddlewares(stack, options, "CreateModel"); 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 = addTimeOffsetBuild(stack, c); err != nil {
return err
}
if err = addUserAgentRetryMode(stack, options); err != nil {
return err
}
if err = addOpCreateModelValidationMiddleware(stack); err != nil {
return err
}
if err = stack.Initialize.Add(newServiceMetadataMiddleware_opCreateModel(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_opCreateModel(region string) *awsmiddleware.RegisterServiceMetadata {
return &awsmiddleware.RegisterServiceMetadata{
Region: region,
ServiceID: ServiceID,
OperationName: "CreateModel",
}
}
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