[POST] /Api/PredictiveAnalytics/Load

This section explains the usage of Predictive Analytics API in JavaScript. This consumes the PMML and input data to retrieve the predicted result.

URL parameters

Parameter Data Type Description
model PredictiveModel (Array) Send the data, PMML file and model name to retrieve the predicted result.

List of PMML files shipped within the EJ services are Groceries.pmml, Glass.pmml, Bfeed.pmml, Audit.pmml, Cars.pmml, Wine.pmml, BreastCancer.pmml, Imports.pmml, Iris.pmml, Tips.pmml, Ozone.pmml, Titanic.pmml.

List of model names supported within the EJ services are AssociationRules, Clustering, CoxRegression, GeneralRegression, GradientBoosting, MultinomialRegression, NaiveBayes, NeuralNetworks, RandomForest, Regression, SupportVectorMachine, TreeModel.

Response information

Code: 200

Content-Type: application/json;odata=verbose;charset=utf-8

Response (JSON):

  • JS
  • [{
        "items":"{citrus fruit,semi-finished bread,margarine,ready soups}",
        "Recommendation":"[whole milk,rolls/buns,other vegetables,yogurt]",
        "Exclusive_Recommendation":"[whole milk,rolls/buns,other vegetables,yogurt]",

    Code example

  • JS
  • $.ajax({
            type: "POST",
            url: 'http://js.syncfusion.com/demos/ejServices/api/PredictiveAnalytics/Load',
            data: JSON.stringify({ data: "[{transactionID:1,items:'{citrus fruit,semi-finished bread,margarine,ready soups}'}]", pmmlFile: 'Groceries.pmml', name: 'AssociationRules' }),
            contentType: "application/json; charset=utf-8",
            dataType: "json",
            processdata: true,