{"repo":"alteryx/featuretools","free":true,"listed":false,"github":"https://github.com/alteryx/featuretools","clone":"git clone https://github.com/alteryx/featuretools.git","description":"An open source python library for automated feature engineering","language":"Python","stars":7664,"topics":["feature-engineering","machine-learning","data-science","automated-machine-learning","automl","python","scikit-learn","automated-feature-engineering"],"license":"BSD-3-Clause","category":"machine-learning","readme_excerpt":"\"One of the holy grails of machine learning is to automate more and more of the feature engineering process.\" ― Pedro Domingos, A Few Useful Things to Know about Machine Learning Featuretools is a python library for automated feature engineering. See the documentation for more information. Installation Install with pip or from the Conda-forge channel on conda: Add-ons You can install add-ons individually or all at once by running: Premium Primitives - Use Premium Primitives from the premium-primitives repo NLP Primitives - Use Natural Language Primitives from the nlp-primitives repo Dask Support - Use Dask to run DFS with njobs 1 Example Below is an example of using Deep Feature Synthesis (DFS) to perform automated feature engineering. In this example, we apply DFS to a multi-table dataset consisting of timestamped customer transactions. Featuretools can automatically create a single table of features for any \"target dataframe\" We now have a feature vector for each customer that can be used for machine learning. See the documentation on Deep Feature Synthesis for more examples. Featuretools contains many different types of built-in primitives for creating features. If the primitive you need is not included, Featuretools also allows you to define your own custom primitives. Demos Predict Next Purchase Repository Notebook In this demonstration, we use a multi-table dataset of 3 million online grocery orders from Instacart to predict what a customer will buy next. We show how to","default_branch":null,"files":null,"tree":[],"storefront":"/r/alteryx","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/alteryx/featuretools/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}