The Anovos Workflow
We designed Anovos with an end-to-end machine learning workflow mind. Teams can use Anovos either as the foundation of their entire workflow or use functions from the library as part of an existing pipeline.
For example, an organization might have an end-to-end workflow that lacks components offered by Anovos. The organization can incorporate additional components by a simple API call for a function from Anovos.
The following workflow diagram shows the potential ways to use Anovos in an end-to-end workflow settings:
Anovos Feature Engineering Video Series
We have created a series of videos that walk through a typical Anovos feature engineering workflow.
- Video 1: Introduction to Feature Engineering with Anovos\
- Video 2: Exploratory Data Analysis Using Reports\
- Video 3: Exploratory Data Analysis with the Data Analyzer\
- Video 4: Feature Composition in Anovos\
- Video 5: Producing Model Ready Features\
You can find the material for a comprehensive introductory workshop as part of the Anovos GitHub repository: https://github.com/anovos/anovos/tree/main/tutorial.
The accompanying documentation walks you through installing Anovos and using it as part of an end-to-end feature engineering workflow.
If you would like to receive hands-on training in Anovos for your team, don't hesitate to reach out to us.