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.
Note: AutoML is currently not available to Catalyst users accessing from the EU, AU, IN, or CA data centers.
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();
Last Updated 2024-01-04 12:37:42 +0530 IST
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