import { Command as $Command } from "@smithy/smithy-client";
import { MetadataBearer as __MetadataBearer } from "@smithy/types";
import { CreateInferenceRecommendationsJobRequest, CreateInferenceRecommendationsJobResponse } from "../models/models_1";
import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
/**
 * @public
 */
export type { __MetadataBearer };
export { $Command };
/**
 * @public
 *
 * The input for {@link CreateInferenceRecommendationsJobCommand}.
 */
export interface CreateInferenceRecommendationsJobCommandInput extends CreateInferenceRecommendationsJobRequest {
}
/**
 * @public
 *
 * The output of {@link CreateInferenceRecommendationsJobCommand}.
 */
export interface CreateInferenceRecommendationsJobCommandOutput extends CreateInferenceRecommendationsJobResponse, __MetadataBearer {
}
declare const CreateInferenceRecommendationsJobCommand_base: {
    new (input: CreateInferenceRecommendationsJobCommandInput): import("@smithy/smithy-client").CommandImpl<CreateInferenceRecommendationsJobCommandInput, CreateInferenceRecommendationsJobCommandOutput, SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes>;
    new (input: CreateInferenceRecommendationsJobCommandInput): import("@smithy/smithy-client").CommandImpl<CreateInferenceRecommendationsJobCommandInput, CreateInferenceRecommendationsJobCommandOutput, SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes>;
    getEndpointParameterInstructions(): import("@smithy/middleware-endpoint").EndpointParameterInstructions;
};
/**
 * <p>Starts a recommendation job. You can create either an instance recommendation or load test job.</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { SageMakerClient, CreateInferenceRecommendationsJobCommand } from "@aws-sdk/client-sagemaker"; // ES Modules import
 * // const { SageMakerClient, CreateInferenceRecommendationsJobCommand } = require("@aws-sdk/client-sagemaker"); // CommonJS import
 * const client = new SageMakerClient(config);
 * const input = { // CreateInferenceRecommendationsJobRequest
 *   JobName: "STRING_VALUE", // required
 *   JobType: "Default" || "Advanced", // required
 *   RoleArn: "STRING_VALUE", // required
 *   InputConfig: { // RecommendationJobInputConfig
 *     ModelPackageVersionArn: "STRING_VALUE",
 *     ModelName: "STRING_VALUE",
 *     JobDurationInSeconds: Number("int"),
 *     TrafficPattern: { // TrafficPattern
 *       TrafficType: "PHASES" || "STAIRS",
 *       Phases: [ // Phases
 *         { // Phase
 *           InitialNumberOfUsers: Number("int"),
 *           SpawnRate: Number("int"),
 *           DurationInSeconds: Number("int"),
 *         },
 *       ],
 *       Stairs: { // Stairs
 *         DurationInSeconds: Number("int"),
 *         NumberOfSteps: Number("int"),
 *         UsersPerStep: Number("int"),
 *       },
 *     },
 *     ResourceLimit: { // RecommendationJobResourceLimit
 *       MaxNumberOfTests: Number("int"),
 *       MaxParallelOfTests: Number("int"),
 *     },
 *     EndpointConfigurations: [ // EndpointInputConfigurations
 *       { // EndpointInputConfiguration
 *         InstanceType: "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.dl1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.12xlarge" || "ml.g6.16xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.r8g.medium" || "ml.r8g.large" || "ml.r8g.xlarge" || "ml.r8g.2xlarge" || "ml.r8g.4xlarge" || "ml.r8g.8xlarge" || "ml.r8g.12xlarge" || "ml.r8g.16xlarge" || "ml.r8g.24xlarge" || "ml.r8g.48xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.12xlarge" || "ml.g6e.16xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.c7i.large" || "ml.c7i.xlarge" || "ml.c7i.2xlarge" || "ml.c7i.4xlarge" || "ml.c7i.8xlarge" || "ml.c7i.12xlarge" || "ml.c7i.16xlarge" || "ml.c7i.24xlarge" || "ml.c7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge" || "ml.c8g.medium" || "ml.c8g.large" || "ml.c8g.xlarge" || "ml.c8g.2xlarge" || "ml.c8g.4xlarge" || "ml.c8g.8xlarge" || "ml.c8g.12xlarge" || "ml.c8g.16xlarge" || "ml.c8g.24xlarge" || "ml.c8g.48xlarge" || "ml.r7gd.medium" || "ml.r7gd.large" || "ml.r7gd.xlarge" || "ml.r7gd.2xlarge" || "ml.r7gd.4xlarge" || "ml.r7gd.8xlarge" || "ml.r7gd.12xlarge" || "ml.r7gd.16xlarge" || "ml.m8g.medium" || "ml.m8g.large" || "ml.m8g.xlarge" || "ml.m8g.2xlarge" || "ml.m8g.4xlarge" || "ml.m8g.8xlarge" || "ml.m8g.12xlarge" || "ml.m8g.16xlarge" || "ml.m8g.24xlarge" || "ml.m8g.48xlarge" || "ml.c6in.large" || "ml.c6in.xlarge" || "ml.c6in.2xlarge" || "ml.c6in.4xlarge" || "ml.c6in.8xlarge" || "ml.c6in.12xlarge" || "ml.c6in.16xlarge" || "ml.c6in.24xlarge" || "ml.c6in.32xlarge" || "ml.p6-b200.48xlarge" || "ml.p6e-gb200.36xlarge",
 *         ServerlessConfig: { // ProductionVariantServerlessConfig
 *           MemorySizeInMB: Number("int"), // required
 *           MaxConcurrency: Number("int"), // required
 *           ProvisionedConcurrency: Number("int"),
 *         },
 *         InferenceSpecificationName: "STRING_VALUE",
 *         EnvironmentParameterRanges: { // EnvironmentParameterRanges
 *           CategoricalParameterRanges: [ // CategoricalParameters
 *             { // CategoricalParameter
 *               Name: "STRING_VALUE", // required
 *               Value: [ // CategoricalParameterRangeValues // required
 *                 "STRING_VALUE",
 *               ],
 *             },
 *           ],
 *         },
 *       },
 *     ],
 *     VolumeKmsKeyId: "STRING_VALUE",
 *     ContainerConfig: { // RecommendationJobContainerConfig
 *       Domain: "STRING_VALUE",
 *       Task: "STRING_VALUE",
 *       Framework: "STRING_VALUE",
 *       FrameworkVersion: "STRING_VALUE",
 *       PayloadConfig: { // RecommendationJobPayloadConfig
 *         SamplePayloadUrl: "STRING_VALUE",
 *         SupportedContentTypes: [ // RecommendationJobSupportedContentTypes
 *           "STRING_VALUE",
 *         ],
 *       },
 *       NearestModelName: "STRING_VALUE",
 *       SupportedInstanceTypes: [ // RecommendationJobSupportedInstanceTypes
 *         "STRING_VALUE",
 *       ],
 *       SupportedEndpointType: "RealTime" || "Serverless",
 *       DataInputConfig: "STRING_VALUE",
 *       SupportedResponseMIMETypes: [ // RecommendationJobSupportedResponseMIMETypes
 *         "STRING_VALUE",
 *       ],
 *     },
 *     Endpoints: [ // Endpoints
 *       { // EndpointInfo
 *         EndpointName: "STRING_VALUE",
 *       },
 *     ],
 *     VpcConfig: { // RecommendationJobVpcConfig
 *       SecurityGroupIds: [ // RecommendationJobVpcSecurityGroupIds // required
 *         "STRING_VALUE",
 *       ],
 *       Subnets: [ // RecommendationJobVpcSubnets // required
 *         "STRING_VALUE",
 *       ],
 *     },
 *   },
 *   JobDescription: "STRING_VALUE",
 *   StoppingConditions: { // RecommendationJobStoppingConditions
 *     MaxInvocations: Number("int"),
 *     ModelLatencyThresholds: [ // ModelLatencyThresholds
 *       { // ModelLatencyThreshold
 *         Percentile: "STRING_VALUE",
 *         ValueInMilliseconds: Number("int"),
 *       },
 *     ],
 *     FlatInvocations: "Continue" || "Stop",
 *   },
 *   OutputConfig: { // RecommendationJobOutputConfig
 *     KmsKeyId: "STRING_VALUE",
 *     CompiledOutputConfig: { // RecommendationJobCompiledOutputConfig
 *       S3OutputUri: "STRING_VALUE",
 *     },
 *   },
 *   Tags: [ // TagList
 *     { // Tag
 *       Key: "STRING_VALUE", // required
 *       Value: "STRING_VALUE", // required
 *     },
 *   ],
 * };
 * const command = new CreateInferenceRecommendationsJobCommand(input);
 * const response = await client.send(command);
 * // { // CreateInferenceRecommendationsJobResponse
 * //   JobArn: "STRING_VALUE", // required
 * // };
 *
 * ```
 *
 * @param CreateInferenceRecommendationsJobCommandInput - {@link CreateInferenceRecommendationsJobCommandInput}
 * @returns {@link CreateInferenceRecommendationsJobCommandOutput}
 * @see {@link CreateInferenceRecommendationsJobCommandInput} for command's `input` shape.
 * @see {@link CreateInferenceRecommendationsJobCommandOutput} for command's `response` shape.
 * @see {@link SageMakerClientResolvedConfig | config} for SageMakerClient's `config` shape.
 *
 * @throws {@link ResourceInUse} (client fault)
 *  <p>Resource being accessed is in use.</p>
 *
 * @throws {@link ResourceLimitExceeded} (client fault)
 *  <p> You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created. </p>
 *
 * @throws {@link SageMakerServiceException}
 * <p>Base exception class for all service exceptions from SageMaker service.</p>
 *
 *
 * @public
 */
export declare class CreateInferenceRecommendationsJobCommand extends CreateInferenceRecommendationsJobCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: CreateInferenceRecommendationsJobRequest;
            output: CreateInferenceRecommendationsJobResponse;
        };
        sdk: {
            input: CreateInferenceRecommendationsJobCommandInput;
            output: CreateInferenceRecommendationsJobCommandOutput;
        };
    };
}