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api_op_CreateAutoPredictor.go
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api_op_CreateAutoPredictor.go
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// Code generated by smithy-go-codegen DO NOT EDIT.
package forecast
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/forecast/types"
"github.com/aws/smithy-go/middleware"
smithyhttp "github.com/aws/smithy-go/transport/http"
)
// Creates an Amazon Forecast predictor. Amazon Forecast creates predictors with
// AutoPredictor, which involves applying the optimal combination of algorithms to
// each time series in your datasets. You can use CreateAutoPredictor to create
// new predictors or upgrade/retrain existing predictors. Creating new predictors
// The following parameters are required when creating a new predictor:
// - PredictorName - A unique name for the predictor.
// - DatasetGroupArn - The ARN of the dataset group used to train the predictor.
// - ForecastFrequency - The granularity of your forecasts (hourly, daily,
// weekly, etc).
// - ForecastHorizon - The number of time-steps that the model predicts. The
// forecast horizon is also called the prediction length.
//
// When creating a new predictor, do not specify a value for ReferencePredictorArn
// . Upgrading and retraining predictors The following parameters are required when
// retraining or upgrading a predictor:
// - PredictorName - A unique name for the predictor.
// - ReferencePredictorArn - The ARN of the predictor to retrain or upgrade.
//
// When upgrading or retraining a predictor, only specify values for the
// ReferencePredictorArn and PredictorName .
func (c *Client) CreateAutoPredictor(ctx context.Context, params *CreateAutoPredictorInput, optFns ...func(*Options)) (*CreateAutoPredictorOutput, error) {
if params == nil {
params = &CreateAutoPredictorInput{}
}
result, metadata, err := c.invokeOperation(ctx, "CreateAutoPredictor", params, optFns, c.addOperationCreateAutoPredictorMiddlewares)
if err != nil {
return nil, err
}
out := result.(*CreateAutoPredictorOutput)
out.ResultMetadata = metadata
return out, nil
}
type CreateAutoPredictorInput struct {
// A unique name for the predictor
//
// This member is required.
PredictorName *string
// The data configuration for your dataset group and any additional datasets.
DataConfig *types.DataConfig
// An Key Management Service (KMS) key and an Identity and Access Management (IAM)
// role that Amazon Forecast can assume to access the key. You can specify this
// optional object in the CreateDataset and CreatePredictor requests.
EncryptionConfig *types.EncryptionConfig
// Create an Explainability resource for the predictor.
ExplainPredictor *bool
// An array of dimension (field) names that specify how to group the generated
// forecast. For example, if you are generating forecasts for item sales across all
// your stores, and your dataset contains a store_id field, you would specify
// store_id as a dimension to group sales forecasts for each store.
ForecastDimensions []string
// The frequency of predictions in a forecast. Valid intervals are an integer
// followed by Y (Year), M (Month), W (Week), D (Day), H (Hour), and min (Minute).
// For example, "1D" indicates every day and "15min" indicates every 15 minutes.
// You cannot specify a value that would overlap with the next larger frequency.
// That means, for example, you cannot specify a frequency of 60 minutes, because
// that is equivalent to 1 hour. The valid values for each frequency are the
// following:
// - Minute - 1-59
// - Hour - 1-23
// - Day - 1-6
// - Week - 1-4
// - Month - 1-11
// - Year - 1
// Thus, if you want every other week forecasts, specify "2W". Or, if you want
// quarterly forecasts, you specify "3M". The frequency must be greater than or
// equal to the TARGET_TIME_SERIES dataset frequency. When a RELATED_TIME_SERIES
// dataset is provided, the frequency must be equal to the RELATED_TIME_SERIES
// dataset frequency.
ForecastFrequency *string
// The number of time-steps that the model predicts. The forecast horizon is also
// called the prediction length. The maximum forecast horizon is the lesser of 500
// time-steps or 1/4 of the TARGET_TIME_SERIES dataset length. If you are
// retraining an existing AutoPredictor, then the maximum forecast horizon is the
// lesser of 500 time-steps or 1/3 of the TARGET_TIME_SERIES dataset length. If you
// are upgrading to an AutoPredictor or retraining an existing AutoPredictor, you
// cannot update the forecast horizon parameter. You can meet this requirement by
// providing longer time-series in the dataset.
ForecastHorizon *int32
// The forecast types used to train a predictor. You can specify up to five
// forecast types. Forecast types can be quantiles from 0.01 to 0.99, by increments
// of 0.01 or higher. You can also specify the mean forecast with mean .
ForecastTypes []string
// The configuration details for predictor monitoring. Provide a name for the
// monitor resource to enable predictor monitoring. Predictor monitoring allows you
// to see how your predictor's performance changes over time. For more information,
// see Predictor Monitoring (https://docs.aws.amazon.com/forecast/latest/dg/predictor-monitoring.html)
// .
MonitorConfig *types.MonitorConfig
// The accuracy metric used to optimize the predictor.
OptimizationMetric types.OptimizationMetric
// The ARN of the predictor to retrain or upgrade. This parameter is only used
// when retraining or upgrading a predictor. When creating a new predictor, do not
// specify a value for this parameter. When upgrading or retraining a predictor,
// only specify values for the ReferencePredictorArn and PredictorName . The value
// for PredictorName must be a unique predictor name.
ReferencePredictorArn *string
// Optional metadata to help you categorize and organize your predictors. Each tag
// consists of a key and an optional value, both of which you define. Tag keys and
// values are case sensitive. The following restrictions apply to tags:
// - For each resource, each tag key must be unique and each tag key must have
// one value.
// - Maximum number of tags per resource: 50.
// - Maximum key length: 128 Unicode characters in UTF-8.
// - Maximum value length: 256 Unicode characters in UTF-8.
// - Accepted characters: all letters and numbers, spaces representable in
// UTF-8, and + - = . _ : / @. If your tagging schema is used across other services
// and resources, the character restrictions of those services also apply.
// - Key prefixes cannot include any upper or lowercase combination of aws: or
// AWS: . Values can have this prefix. If a tag value has aws as its prefix but
// the key does not, Forecast considers it to be a user tag and will count against
// the limit of 50 tags. Tags with only the key prefix of aws do not count
// against your tags per resource limit. You cannot edit or delete tag keys with
// this prefix.
Tags []types.Tag
// The time boundary Forecast uses to align and aggregate any data that doesn't
// align with your forecast frequency. Provide the unit of time and the time
// boundary as a key value pair. For more information on specifying a time
// boundary, see Specifying a Time Boundary (https://docs.aws.amazon.com/forecast/latest/dg/data-aggregation.html#specifying-time-boundary)
// . If you don't provide a time boundary, Forecast uses a set of Default Time
// Boundaries (https://docs.aws.amazon.com/forecast/latest/dg/data-aggregation.html#default-time-boundaries)
// .
TimeAlignmentBoundary *types.TimeAlignmentBoundary
noSmithyDocumentSerde
}
type CreateAutoPredictorOutput struct {
// The Amazon Resource Name (ARN) of the predictor.
PredictorArn *string
// Metadata pertaining to the operation's result.
ResultMetadata middleware.Metadata
noSmithyDocumentSerde
}
func (c *Client) addOperationCreateAutoPredictorMiddlewares(stack *middleware.Stack, options Options) (err error) {
if err := stack.Serialize.Add(&setOperationInputMiddleware{}, middleware.After); err != nil {
return err
}
err = stack.Serialize.Add(&awsAwsjson11_serializeOpCreateAutoPredictor{}, middleware.After)
if err != nil {
return err
}
err = stack.Deserialize.Add(&awsAwsjson11_deserializeOpCreateAutoPredictor{}, middleware.After)
if err != nil {
return err
}
if err := addProtocolFinalizerMiddlewares(stack, options, "CreateAutoPredictor"); 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 = addOpCreateAutoPredictorValidationMiddleware(stack); err != nil {
return err
}
if err = stack.Initialize.Add(newServiceMetadataMiddleware_opCreateAutoPredictor(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_opCreateAutoPredictor(region string) *awsmiddleware.RegisterServiceMetadata {
return &awsmiddleware.RegisterServiceMetadata{
Region: region,
ServiceID: ServiceID,
OperationName: "CreateAutoPredictor",
}
}