The team behind VerticaPy wishes you happy holidays and a happy new year from Boston, and from Grenoble in the French Alps!
Make 2021 your year to operationalize Machine Learning at Scale with Vertica and Python.
VerticaPy is a Python library that exposes scikit-like functionality for conducting data science projects in your Vertica database. With in-database machine learning, data preparation and exploration, VerticaPy lets you manipulate and analyze your data while leveraging the strength of Vertica – the most powerful unified analytics warehouse on the market. VerticaPy brings the logic to the data: everything happens in your database.
Here some helpful new features in VerticaPy v.04:
- Calculation of the Weight of Evidence (WOE) and Information Value (IV) – understand the influence of your predictors on your target
- Support for SHAP Explainers – understand what influences your Vertica model
- More Vertica model conversion – convert your Vertica model to an sklearn model
- GeoPandas – draw beautiful maps
- “Magic” methods – use even more Pandas-like functions for filtering data and computing features
- Much more: https://www.vertica.com/python/documentation_last/whats-new-0.4.php
About the Author
Badr Ouali
Head of Data Science
