You're reading from Automated Machine Learning

Product typeBook

Published inFeb 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781800567689

Edition1st Edition

Languages

Python

Tools

Azure Functions

Concepts

Machine Learning

Author (1)

Adnan Masood

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...

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Automated Machine Learning

Published in: Feb 2021Publisher: PacktISBN-13: 9781800567689

Author (1)

Adnan Masood

Adnan Masood, PhD is an artificial intelligence and machine learning researcher, visiting scholar at Stanford AI Lab, software engineer, Microsoft MVP (Most Valuable Professional), and Microsoft's regional director for artificial intelligence. As chief architect of AI and machine learning at UST Global, he collaborates with Stanford AI Lab and MIT CSAIL, and leads a team of data scientists and engineers building artificial intelligence solutions to produce business value and insights that affect a range of businesses, products, and initiatives.
Read more about Adnan Masood

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Introducing Featuretools

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