Vantage Analytics Library Function Example | teradatamlwidgets - VAL Function Example: Linear Regression - Teradata VantageCloud Lake

The following example is shown in the end of the Tutorial.ipynb notebook. This notebook demonstrates the possible pipeline structure. In other words, the Linear Regression VAL output will be used as an input to Linear Regression VAL Predict.

The code has the input, output, function name, and export settings specified.

The export settings are configured for the notebook to automatically populate the function with the parameters.

Input

from teradatamlwidgets import analytic_functions

inputs = ['titanic']
outputs = ['Project_OutLinearRegression']
ui = analytic_functions.Ui(outputs=outputs,
   function="Linear Regression",
   inputs=inputs,
   export_settings="LinReg.json")

Set the parameters

Output

Select Execute to see the resulting table. This table will be used as the input in VAL Example: Linear Regression Predict.