AutoML

Zia AutoML enables you to train models and analyze a set of training data to predict the outcome of a subset of that data. You can build and train Binary Classification, Multi-Class Classification, and Regression Models, and obtain insightful evaluation reports.

Refer to the API documentation for the request and response formats.

The predictData function is used to pass inputs for a model’s columns and values to test it, by providing the model ID of the model. It returns the prediction of the values of a target column.

Ensure the following packages are imported:

    

        
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         import org.json.simple.JSONObject; 
import com.zc.component.ml.ZCAutomlPredictionData;
import java.io.File;
import com.zc.component.ml.ZCML;

    

    

        
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         JSONObject obj = new JSONObject(); 
obj.put("column1", "value1");
obj.put("column2", "value2"); 
obj.put("column3", "value3");​ ​​ 
​ZCAutomlPredictionData data = ZCML.getInstance().predictData({modelId}, obj); 
//For Binary-class and Multi-class Classification models 
JSONObject classificationResult = data.getClassificationResultData(); 
//For Regression models 
Object regressionResult =data.getRegressionResultData();