Introducing Featuretools
Featuretools is an excellent Python framework that helps with automated feature engineering by using DFS. Feature engineering is a tough problem due to its very nuanced nature. However, this open source toolkit, with its robust timestamp handling and reusable feature primitives, provides a proper framework for us to build and extract combinations of features and their impact.
The toolkit is available on GitHub to be downloaded: https://github.com/FeatureLabs/featuretools/. The following steps will guide you through how to install Featuretools, as well as how to run an automated ML experiment using the library. Let's get started:
- To start Featuretools in Colab, you will need to use pip to install the package. In this example, we will try to create features for the Boston Housing Prices dataset:
Figure 3.19 – AutoML with Featuretools – installing Featuretools
In this experiment, we will be using the Boston Housing Prices dataset...
