"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.MachineLearning = void 0;
const BINDING_ERROR = 'SimpleSteps service bindings cannot be called directly. They exist only for the compiler.';
/** Machine Learning service binding for Step Functions SDK integrations. */
class MachineLearning {
    constructor() { }
    addTags(params) {
        throw new Error(BINDING_ERROR);
    }
    createBatchPrediction(params) {
        throw new Error(BINDING_ERROR);
    }
    createDataSourceFromRDS(params) {
        throw new Error(BINDING_ERROR);
    }
    createDataSourceFromRedshift(params) {
        throw new Error(BINDING_ERROR);
    }
    createDataSourceFromS3(params) {
        throw new Error(BINDING_ERROR);
    }
    createEvaluation(params) {
        throw new Error(BINDING_ERROR);
    }
    createMLModel(params) {
        throw new Error(BINDING_ERROR);
    }
    createRealtimeEndpoint(params) {
        throw new Error(BINDING_ERROR);
    }
    deleteBatchPrediction(params) {
        throw new Error(BINDING_ERROR);
    }
    deleteDataSource(params) {
        throw new Error(BINDING_ERROR);
    }
    deleteEvaluation(params) {
        throw new Error(BINDING_ERROR);
    }
    deleteMLModel(params) {
        throw new Error(BINDING_ERROR);
    }
    deleteRealtimeEndpoint(params) {
        throw new Error(BINDING_ERROR);
    }
    deleteTags(params) {
        throw new Error(BINDING_ERROR);
    }
    describeBatchPredictions(params) {
        throw new Error(BINDING_ERROR);
    }
    describeDataSources(params) {
        throw new Error(BINDING_ERROR);
    }
    describeEvaluations(params) {
        throw new Error(BINDING_ERROR);
    }
    describeMLModels(params) {
        throw new Error(BINDING_ERROR);
    }
    describeTags(params) {
        throw new Error(BINDING_ERROR);
    }
    getBatchPrediction(params) {
        throw new Error(BINDING_ERROR);
    }
    getDataSource(params) {
        throw new Error(BINDING_ERROR);
    }
    getEvaluation(params) {
        throw new Error(BINDING_ERROR);
    }
    getMLModel(params) {
        throw new Error(BINDING_ERROR);
    }
    predict(params) {
        throw new Error(BINDING_ERROR);
    }
    updateBatchPrediction(params) {
        throw new Error(BINDING_ERROR);
    }
    updateDataSource(params) {
        throw new Error(BINDING_ERROR);
    }
    updateEvaluation(params) {
        throw new Error(BINDING_ERROR);
    }
    updateMLModel(params) {
        throw new Error(BINDING_ERROR);
    }
}
exports.MachineLearning = MachineLearning;
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