Alteryx has obtained a patent for a feature engineering tool that automatically generates features for ML models.

The patent describes a computerized process for handling data, encompassing steps like obtaining a dataset from a source, picking key elements from a set based on the dataset, crafting attributes, assessing their value through repeated examination, assigning significance to each attribute, and producing a predictive machine-learning model. 

This process involves creating a meaningful portrayal of the dataset, using key elements to craft attributes, and prioritizing attributes to gauge their significance. The patented system employs machine learning models to refine selecting and assessing attributes for data analysis and prediction tasks.