This article shows how to use a classification Machine Learning (ML) algorithm on the Iris Flower data set. It first creates a model based on a training data set and then scores the the test data set and gives the prediction of the flower based on the model.
Install the following python libraries on the Incorta server using pip install if they are not installed.
Import the schema zip from schema page and the data file from the UI . The Iris ML schema has two examples, one using pandas and other using incorta_ML .
Load the IrisData table
Now open the materialized views in a notebook and start running each of the paragraphs to see what it does.