-
-
Notifications
You must be signed in to change notification settings - Fork 18.4k
Add Featuretools to Pandas Ecosystem Page #21297
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Conversation
Codecov Report
@@ Coverage Diff @@
## master #21297 +/- ##
==========================================
+ Coverage 91.85% 91.85% +<.01%
==========================================
Files 153 153
Lines 49546 49548 +2
==========================================
+ Hits 45509 45511 +2
Misses 4037 4037
Continue to review full report at Codecov.
|
doc/source/ecosystem.rst
Outdated
|
||
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. |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
What is meant with "transactional" in this context?
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
it is being used as a synonym for "time series". we use the word transactional here to highlight that the data could be an irregular time series. for example, a series of customer behaviors on a website. happy to make it just time series in this description.
thanks! |
(cherry picked from commit 67e6e6f)
(cherry picked from commit 67e6e6f)
Adding a library for automated feature engineering that is built on top of Pandas that I think would be very relevant to users of pandas.
More info on our website (https://www.featuretools.com/) and GitHub (https://github.com/featuretools/featuretools/).