Introduction

url2features is a Python package which aims to provide an easy and intuitive way of generating features from columns containing URLs in a dataset.

The current implementation has been developed in Python 3 and tested on a variety of CSV files.

Motivation

URLs are strings with a very specific structure and relationship to the entities that they describe. Although they can be processed using stanard methods for feature engineering on strings, these are not always ideal.

This package is intended to provide a quick, as well as easily extensible framework to add columns to a dataset using a wide variety of URL specific feature engineering approaches.

It can be as either a CLI utility to process a tabular dataset, or as python package that can be included within your ML projects. We include a SciKit Learn Compatible Transformer for using in machine learning pipelines.