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.

To know more about the component instance zia used below, please refer to this help section.

Parameters Used

# Auto ML Implementation
zia = app.zia()
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 :

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