StreamGen: a Python framework for generating streams of labeled data

A tree of sampling functions and transformations as a new data structure and framework for synthetic data generation.Samples are generated by traversing the tree from the root to the leaves.Each path through the tree represents its own class-conditional distribution.The branching points represent categorical distributions which determine the path to take for a sample during the tree traversal.By changing the parameters of the transformations over time, such trees can represent evolving distributions suitable to generate data streams (see Figure 2). SummaryStreamGen is a framework for generating streams of labeled, synthetic data from trees composed of sampling functions and transformation monoids (see Figure 1).