The Open Analytics Framework feature allows for conducting data analytics on Vantage data by using open source language machine learning libraries, leveraging your existing work in open source solutions.
For example, you can use a Python or R approach to:
- Conduct machine learning model training at scale using sample data from Vantage.
- Run a trained machine learning model efficiently at scale against large input data sources.
- Perform data wrangling, exploration and manipulation.
- Simulation use cases.
- Run multiple concurrent model training and scoring jobs to score a large amount of data.
- Use a supervised machine learning algorithm for working with large datasets and create models with better performance.
- Break down a human-readable text into machine understandable language for text processing.
- Combine multidimensional arrays into a single array.