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.

You can 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.

The zia reference used below is defined in the component instance page. The promise returned here is resolved to a JSON object.

var zia = app.zia(); //Provide the model ID of the model zia.automl(modelId, { //Provide inputs for the columns and its values of the model "column_1" : "column1_value", "column_2" : "column2_value", "column_3" : "column3_value", "column_4" : "column4_value", "column_5" : "column5_value", }).then((result) => { console.log(result); }) .catch((err) => console.log(err.toString())); //Push errors to Catalyst Logs

A sample response that you will receive is shown below. The response is the same for both versions of Node.js.

Node js

{ classification_result: { Dollars: 0, Percentage: 80, "Dollars (millions)": 20 } }

Last Updated 2024-01-04 12:37:42 +0530 +0530



AutoML - API