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.

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.

The zia reference used below is already defined in the component instance page.

    

        
copy
        

            

        
    
    

         #Auto ML Implementation
result = zia.auto_ml(modelId, {
# Provide inputs for the column key and value based on your model
    "column_1": "column1_value",
    "column_2": "column2_value",
    "column_3": "column3_value",
    "column_4": "column4_value",
    "column_5": "column5_value",
})
    

A sample response is shown below :

    

        
copy
        

            

        
    
    

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