feat(client-sagemaker): Adding support for timeseries forecasting in …

…the CreateAutoMLJobV2 API.
aws · Jun 29, 2023 · 1c2f6f0 · 1c2f6f0
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diff --git a/clients/client-sagemaker/src/commands/CreateAutoMLJobCommand.ts b/clients/client-sagemaker/src/commands/CreateAutoMLJobCommand.ts
@@ -76,7 +76,7 @@ export interface CreateAutoMLJobCommandOutput extends CreateAutoMLJobResponse, _
  *   },
  *   ProblemType: "BinaryClassification" || "MulticlassClassification" || "Regression",
  *   AutoMLJobObjective: { // AutoMLJobObjective
- *     MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro", // required
+ *     MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "MAPE" || "MASE" || "WAPE" || "AverageWeightedQuantileLoss", // required
  *   },
  *   AutoMLJobConfig: { // AutoMLJobConfig
  *     CompletionCriteria: { // AutoMLJobCompletionCriteria

diff --git a/clients/client-sagemaker/src/commands/CreateAutoMLJobV2Command.ts b/clients/client-sagemaker/src/commands/CreateAutoMLJobV2Command.ts
@@ -42,9 +42,9 @@ export interface CreateAutoMLJobV2CommandOutput extends CreateAutoMLJobV2Respons
  *                <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJobV2.html">CreateAutoMLJobV2</a> and <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJobV2.html">DescribeAutoMLJobV2</a> are new versions of <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJob.html">CreateAutoMLJob</a>
  *             and <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJob.html">DescribeAutoMLJob</a> which offer backward compatibility.</p>
  *             <p>
- *                <code>CreateAutoMLJobV2</code> can manage tabular problem types identical to those of its previous version
- *                <code>CreateAutoMLJob</code>, as well as non-tabular problem types such as
- *             image or text classification.</p>
+ *                <code>CreateAutoMLJobV2</code> can manage tabular problem types identical to those of
+ *             its previous version <code>CreateAutoMLJob</code>, as well as non-tabular problem types
+ *             such as image or text classification.</p>
  *             <p>Find guidelines about how to migrate a <code>CreateAutoMLJob</code> to
  *                <code>CreateAutoMLJobV2</code> in <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development-create-experiment-api.html#autopilot-create-experiment-api-migrate-v1-v2">Migrate a CreateAutoMLJob to CreateAutoMLJobV2</a>.</p>
  *          </note>
@@ -115,6 +115,37 @@ export interface CreateAutoMLJobV2CommandOutput extends CreateAutoMLJobV2Respons
  *       TargetAttributeName: "STRING_VALUE", // required
  *       SampleWeightAttributeName: "STRING_VALUE",
  *     },
+ *     TimeSeriesForecastingJobConfig: { // TimeSeriesForecastingJobConfig
+ *       FeatureSpecificationS3Uri: "STRING_VALUE",
+ *       CompletionCriteria: {
+ *         MaxCandidates: Number("int"),
+ *         MaxRuntimePerTrainingJobInSeconds: Number("int"),
+ *         MaxAutoMLJobRuntimeInSeconds: Number("int"),
+ *       },
+ *       ForecastFrequency: "STRING_VALUE", // required
+ *       ForecastHorizon: Number("int"), // required
+ *       ForecastQuantiles: [ // ForecastQuantiles
+ *         "STRING_VALUE",
+ *       ],
+ *       Transformations: { // TimeSeriesTransformations
+ *         Filling: { // FillingTransformations
+ *           "<keys>": { // FillingTransformationMap
+ *             "<keys>": "STRING_VALUE",
+ *           },
+ *         },
+ *         Aggregation: { // AggregationTransformations
+ *           "<keys>": "sum" || "avg" || "first" || "min" || "max",
+ *         },
+ *       },
+ *       TimeSeriesConfig: { // TimeSeriesConfig
+ *         TargetAttributeName: "STRING_VALUE", // required
+ *         TimestampAttributeName: "STRING_VALUE", // required
+ *         ItemIdentifierAttributeName: "STRING_VALUE", // required
+ *         GroupingAttributeNames: [ // GroupingAttributeNames
+ *           "STRING_VALUE",
+ *         ],
+ *       },
+ *     },
  *   },
  *   RoleArn: "STRING_VALUE", // required
  *   Tags: [ // TagList
@@ -136,7 +167,7 @@ export interface CreateAutoMLJobV2CommandOutput extends CreateAutoMLJobV2Respons
  *     },
  *   },
  *   AutoMLJobObjective: { // AutoMLJobObjective
- *     MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro", // required
+ *     MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "MAPE" || "MASE" || "WAPE" || "AverageWeightedQuantileLoss", // required
  *   },
  *   ModelDeployConfig: { // ModelDeployConfig
  *     AutoGenerateEndpointName: true || false,

diff --git a/clients/client-sagemaker/src/commands/DeleteImageCommand.ts b/clients/client-sagemaker/src/commands/DeleteImageCommand.ts
@@ -13,7 +13,8 @@ import {
   SerdeContext as __SerdeContext,
 } from "@smithy/types";
 
-import { DeleteImageRequest, DeleteImageResponse } from "../models/models_1";
+import { DeleteImageRequest } from "../models/models_1";
+import { DeleteImageResponse } from "../models/models_2";
 import { de_DeleteImageCommand, se_DeleteImageCommand } from "../protocols/Aws_json1_1";
 import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
 

diff --git a/clients/client-sagemaker/src/commands/DeleteImageVersionCommand.ts b/clients/client-sagemaker/src/commands/DeleteImageVersionCommand.ts
@@ -13,7 +13,7 @@ import {
   SerdeContext as __SerdeContext,
 } from "@smithy/types";
 
-import { DeleteImageVersionRequest, DeleteImageVersionResponse } from "../models/models_1";
+import { DeleteImageVersionRequest, DeleteImageVersionResponse } from "../models/models_2";
 import { de_DeleteImageVersionCommand, se_DeleteImageVersionCommand } from "../protocols/Aws_json1_1";
 import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
 

diff --git a/clients/client-sagemaker/src/commands/DeleteInferenceExperimentCommand.ts b/clients/client-sagemaker/src/commands/DeleteInferenceExperimentCommand.ts
@@ -13,7 +13,7 @@ import {
   SerdeContext as __SerdeContext,
 } from "@smithy/types";
 
-import { DeleteInferenceExperimentRequest, DeleteInferenceExperimentResponse } from "../models/models_1";
+import { DeleteInferenceExperimentRequest, DeleteInferenceExperimentResponse } from "../models/models_2";
 import { de_DeleteInferenceExperimentCommand, se_DeleteInferenceExperimentCommand } from "../protocols/Aws_json1_1";
 import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
 

diff --git a/clients/client-sagemaker/src/commands/DescribeAutoMLJobCommand.ts b/clients/client-sagemaker/src/commands/DescribeAutoMLJobCommand.ts
@@ -76,7 +76,7 @@ export interface DescribeAutoMLJobCommandOutput extends DescribeAutoMLJobRespons
  * //   },
  * //   RoleArn: "STRING_VALUE", // required
  * //   AutoMLJobObjective: { // AutoMLJobObjective
- * //     MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro", // required
+ * //     MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "MAPE" || "MASE" || "WAPE" || "AverageWeightedQuantileLoss", // required
  * //   },
  * //   ProblemType: "BinaryClassification" || "MulticlassClassification" || "Regression",
  * //   AutoMLJobConfig: { // AutoMLJobConfig
@@ -125,9 +125,9 @@ export interface DescribeAutoMLJobCommandOutput extends DescribeAutoMLJobRespons
  * //     CandidateName: "STRING_VALUE", // required
  * //     FinalAutoMLJobObjectiveMetric: { // FinalAutoMLJobObjectiveMetric
  * //       Type: "Maximize" || "Minimize",
- * //       MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro", // required
+ * //       MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "MAPE" || "MASE" || "WAPE" || "AverageWeightedQuantileLoss", // required
  * //       Value: Number("float"), // required
- * //       StandardMetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro",
+ * //       StandardMetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "MAPE" || "MASE" || "WAPE" || "AverageWeightedQuantileLoss",
  * //     },
  * //     ObjectiveStatus: "Succeeded" || "Pending" || "Failed", // required
  * //     CandidateSteps: [ // CandidateSteps // required
@@ -155,13 +155,14 @@ export interface DescribeAutoMLJobCommandOutput extends DescribeAutoMLJobRespons
  * //       CandidateArtifactLocations: { // CandidateArtifactLocations
  * //         Explainability: "STRING_VALUE", // required
  * //         ModelInsights: "STRING_VALUE",
+ * //         BacktestResults: "STRING_VALUE",
  * //       },
  * //       CandidateMetrics: [ // MetricDataList
  * //         { // MetricDatum
- * //           MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro",
+ * //           MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "MAPE" || "MASE" || "WAPE" || "AverageWeightedQuantileLoss",
  * //           Value: Number("float"),
  * //           Set: "Train" || "Validation" || "Test",
- * //           StandardMetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "LogLoss" || "InferenceLatency",
+ * //           StandardMetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "LogLoss" || "InferenceLatency" || "MAPE" || "MASE" || "WAPE" || "AverageWeightedQuantileLoss",
  * //         },
  * //       ],
  * //     },
@@ -178,15 +179,15 @@ export interface DescribeAutoMLJobCommandOutput extends DescribeAutoMLJobRespons
  * //     },
  * //   },
  * //   AutoMLJobStatus: "Completed" || "InProgress" || "Failed" || "Stopped" || "Stopping", // required
- * //   AutoMLJobSecondaryStatus: "Starting" || "AnalyzingData" || "FeatureEngineering" || "ModelTuning" || "MaxCandidatesReached" || "Failed" || "Stopped" || "MaxAutoMLJobRuntimeReached" || "Stopping" || "CandidateDefinitionsGenerated" || "GeneratingExplainabilityReport" || "Completed" || "ExplainabilityError" || "DeployingModel" || "ModelDeploymentError" || "GeneratingModelInsightsReport" || "ModelInsightsError" || "TrainingModels", // required
+ * //   AutoMLJobSecondaryStatus: "Starting" || "AnalyzingData" || "FeatureEngineering" || "ModelTuning" || "MaxCandidatesReached" || "Failed" || "Stopped" || "MaxAutoMLJobRuntimeReached" || "Stopping" || "CandidateDefinitionsGenerated" || "GeneratingExplainabilityReport" || "Completed" || "ExplainabilityError" || "DeployingModel" || "ModelDeploymentError" || "GeneratingModelInsightsReport" || "ModelInsightsError" || "TrainingModels" || "PreTraining", // required
  * //   GenerateCandidateDefinitionsOnly: true || false,
  * //   AutoMLJobArtifacts: { // AutoMLJobArtifacts
  * //     CandidateDefinitionNotebookLocation: "STRING_VALUE",
  * //     DataExplorationNotebookLocation: "STRING_VALUE",
  * //   },
  * //   ResolvedAttributes: { // ResolvedAttributes
  * //     AutoMLJobObjective: {
- * //       MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro", // required
+ * //       MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "MAPE" || "MASE" || "WAPE" || "AverageWeightedQuantileLoss", // required
  * //     },
  * //     ProblemType: "BinaryClassification" || "MulticlassClassification" || "Regression",
  * //     CompletionCriteria: {

diff --git a/clients/client-sagemaker/src/commands/DescribeAutoMLJobV2Command.ts b/clients/client-sagemaker/src/commands/DescribeAutoMLJobV2Command.ts
@@ -71,7 +71,7 @@ export interface DescribeAutoMLJobV2CommandOutput extends DescribeAutoMLJobV2Res
  * //   },
  * //   RoleArn: "STRING_VALUE", // required
  * //   AutoMLJobObjective: { // AutoMLJobObjective
- * //     MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro", // required
+ * //     MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "MAPE" || "MASE" || "WAPE" || "AverageWeightedQuantileLoss", // required
  * //   },
  * //   AutoMLProblemTypeConfig: { // AutoMLProblemTypeConfig Union: only one key present
  * //     ImageClassificationJobConfig: { // ImageClassificationJobConfig
@@ -112,6 +112,37 @@ export interface DescribeAutoMLJobV2CommandOutput extends DescribeAutoMLJobV2Res
  * //       TargetAttributeName: "STRING_VALUE", // required
  * //       SampleWeightAttributeName: "STRING_VALUE",
  * //     },
+ * //     TimeSeriesForecastingJobConfig: { // TimeSeriesForecastingJobConfig
+ * //       FeatureSpecificationS3Uri: "STRING_VALUE",
+ * //       CompletionCriteria: {
+ * //         MaxCandidates: Number("int"),
+ * //         MaxRuntimePerTrainingJobInSeconds: Number("int"),
+ * //         MaxAutoMLJobRuntimeInSeconds: Number("int"),
+ * //       },
+ * //       ForecastFrequency: "STRING_VALUE", // required
+ * //       ForecastHorizon: Number("int"), // required
+ * //       ForecastQuantiles: [ // ForecastQuantiles
+ * //         "STRING_VALUE",
+ * //       ],
+ * //       Transformations: { // TimeSeriesTransformations
+ * //         Filling: { // FillingTransformations
+ * //           "<keys>": { // FillingTransformationMap
+ * //             "<keys>": "STRING_VALUE",
+ * //           },
+ * //         },
+ * //         Aggregation: { // AggregationTransformations
+ * //           "<keys>": "sum" || "avg" || "first" || "min" || "max",
+ * //         },
+ * //       },
+ * //       TimeSeriesConfig: { // TimeSeriesConfig
+ * //         TargetAttributeName: "STRING_VALUE", // required
+ * //         TimestampAttributeName: "STRING_VALUE", // required
+ * //         ItemIdentifierAttributeName: "STRING_VALUE", // required
+ * //         GroupingAttributeNames: [ // GroupingAttributeNames
+ * //           "STRING_VALUE",
+ * //         ],
+ * //       },
+ * //     },
  * //   },
  * //   CreationTime: new Date("TIMESTAMP"), // required
  * //   EndTime: new Date("TIMESTAMP"),
@@ -126,9 +157,9 @@ export interface DescribeAutoMLJobV2CommandOutput extends DescribeAutoMLJobV2Res
  * //     CandidateName: "STRING_VALUE", // required
  * //     FinalAutoMLJobObjectiveMetric: { // FinalAutoMLJobObjectiveMetric
  * //       Type: "Maximize" || "Minimize",
- * //       MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro", // required
+ * //       MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "MAPE" || "MASE" || "WAPE" || "AverageWeightedQuantileLoss", // required
  * //       Value: Number("float"), // required
- * //       StandardMetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro",
+ * //       StandardMetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "MAPE" || "MASE" || "WAPE" || "AverageWeightedQuantileLoss",
  * //     },
  * //     ObjectiveStatus: "Succeeded" || "Pending" || "Failed", // required
  * //     CandidateSteps: [ // CandidateSteps // required
@@ -156,13 +187,14 @@ export interface DescribeAutoMLJobV2CommandOutput extends DescribeAutoMLJobV2Res
  * //       CandidateArtifactLocations: { // CandidateArtifactLocations
  * //         Explainability: "STRING_VALUE", // required
  * //         ModelInsights: "STRING_VALUE",
+ * //         BacktestResults: "STRING_VALUE",
  * //       },
  * //       CandidateMetrics: [ // MetricDataList
  * //         { // MetricDatum
- * //           MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro",
+ * //           MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "MAPE" || "MASE" || "WAPE" || "AverageWeightedQuantileLoss",
  * //           Value: Number("float"),
  * //           Set: "Train" || "Validation" || "Test",
- * //           StandardMetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "LogLoss" || "InferenceLatency",
+ * //           StandardMetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "LogLoss" || "InferenceLatency" || "MAPE" || "MASE" || "WAPE" || "AverageWeightedQuantileLoss",
  * //         },
  * //       ],
  * //     },
@@ -179,7 +211,7 @@ export interface DescribeAutoMLJobV2CommandOutput extends DescribeAutoMLJobV2Res
  * //     },
  * //   },
  * //   AutoMLJobStatus: "Completed" || "InProgress" || "Failed" || "Stopped" || "Stopping", // required
- * //   AutoMLJobSecondaryStatus: "Starting" || "AnalyzingData" || "FeatureEngineering" || "ModelTuning" || "MaxCandidatesReached" || "Failed" || "Stopped" || "MaxAutoMLJobRuntimeReached" || "Stopping" || "CandidateDefinitionsGenerated" || "GeneratingExplainabilityReport" || "Completed" || "ExplainabilityError" || "DeployingModel" || "ModelDeploymentError" || "GeneratingModelInsightsReport" || "ModelInsightsError" || "TrainingModels", // required
+ * //   AutoMLJobSecondaryStatus: "Starting" || "AnalyzingData" || "FeatureEngineering" || "ModelTuning" || "MaxCandidatesReached" || "Failed" || "Stopped" || "MaxAutoMLJobRuntimeReached" || "Stopping" || "CandidateDefinitionsGenerated" || "GeneratingExplainabilityReport" || "Completed" || "ExplainabilityError" || "DeployingModel" || "ModelDeploymentError" || "GeneratingModelInsightsReport" || "ModelInsightsError" || "TrainingModels" || "PreTraining", // required
  * //   ModelDeployConfig: { // ModelDeployConfig
  * //     AutoGenerateEndpointName: true || false,
  * //     EndpointName: "STRING_VALUE",
@@ -208,7 +240,7 @@ export interface DescribeAutoMLJobV2CommandOutput extends DescribeAutoMLJobV2Res
  * //   },
  * //   ResolvedAttributes: { // AutoMLResolvedAttributes
  * //     AutoMLJobObjective: {
- * //       MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro", // required
+ * //       MetricName: "Accuracy" || "MSE" || "F1" || "F1macro" || "AUC" || "RMSE" || "MAE" || "R2" || "BalancedAccuracy" || "Precision" || "PrecisionMacro" || "Recall" || "RecallMacro" || "MAPE" || "MASE" || "WAPE" || "AverageWeightedQuantileLoss", // required
  * //     },
  * //     CompletionCriteria: {
  * //       MaxCandidates: Number("int"),
@@ -221,7 +253,7 @@ export interface DescribeAutoMLJobV2CommandOutput extends DescribeAutoMLJobV2Res
  * //       },
  * //     },
  * //   },
- * //   AutoMLProblemTypeConfigName: "ImageClassification" || "TextClassification" || "Tabular",
+ * //   AutoMLProblemTypeConfigName: "ImageClassification" || "TextClassification" || "Tabular" || "TimeSeriesForecasting",
  * // };
  *
  * ```