Uploaded December 2020 | Updated September 2026, 1 week ago
In this video lecture I show you how to use the Python Script node in Orange. It provides a ready made IDE and a console to type Python code.
In the video I use the scikit-learn library to generate a dataset for a classification problem. The make_classification function generates a feature matrix and a target vector. The data is concatenated into a Python list.
I use from the Orange.data library to generate the structure of the data, in essence informing Orange what type of data each column holds.
It is important to assign the generated data to a variable called out_data for Orange to recognize.
In this video lecture I show you how to use the Python Script node in Orange. It provides a ready made IDE and a console to type Python code.
In the video I use the scikit-learn library to generate a dataset for a classification problem. The make_classification function generates a feature matrix and a target vector. The data is concatenated into a Python list.
I use from the Orange.data library to generate the structure of the data, in essence informing Orange what type of data each column holds.
It is important to assign the generated data to a variable called out_data for Orange to recognize.
