From ad493f2e476f5cbfda8fc2fbc0fe952f4a2ca82d Mon Sep 17 00:00:00 2001 From: Max Kanter Date: Sat, 2 Jun 2018 13:37:33 -0400 Subject: [PATCH 1/2] Add Featuretools to Pandas Ecosystem Page --- doc/source/ecosystem.rst | 3 +++ 1 file changed, 3 insertions(+) diff --git a/doc/source/ecosystem.rst b/doc/source/ecosystem.rst index 30cdb06b28487..924ef9a58d52b 100644 --- a/doc/source/ecosystem.rst +++ b/doc/source/ecosystem.rst @@ -38,7 +38,10 @@ Statsmodels leverages pandas objects as the underlying data container for comput Use pandas DataFrames in your `scikit-learn `__ ML pipeline. +`Featuretools `__ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Featuretools is a Python library for automated feature engineering built on top of pandas. It excels at transforming transactional and relational datasets into feature matrices for machine learning using reusable feature engineering "primitives". Users can contribute their own primitives in python and share them with the rest of the community. .. _ecosystem.visualization: From ed7a09825f2bb85697701978e8c9f157e4b2b424 Mon Sep 17 00:00:00 2001 From: Max Kanter Date: Mon, 4 Jun 2018 21:48:10 -0400 Subject: [PATCH 2/2] change to temporal data rather than transactional --- doc/source/ecosystem.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/ecosystem.rst b/doc/source/ecosystem.rst index 924ef9a58d52b..6714398084186 100644 --- a/doc/source/ecosystem.rst +++ b/doc/source/ecosystem.rst @@ -41,7 +41,7 @@ ML pipeline. `Featuretools `__ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Featuretools is a Python library for automated feature engineering built on top of pandas. It excels at transforming transactional and relational datasets into feature matrices for machine learning using reusable feature engineering "primitives". Users can contribute their own primitives in python and share them with the rest of the community. +Featuretools is a Python library for automated feature engineering built on top of pandas. It excels at transforming temporal and relational datasets into feature matrices for machine learning using reusable feature engineering "primitives". Users can contribute their own primitives in Python and share them with the rest of the community. .. _ecosystem.visualization: