Python Toolkit is an integrated library and APIs for probabilistic programming, analytics, prediction and visualization.
The Flek Machine includes a specialized programming Toolkit that allow data scientists to interact with the probabilistic model, query, mine and make predictions - all within an integrated framework. The suite of Python APIs makes it easy to retrieve certain Nuggets and make complex probabilistic computations or inferences.
The Toolkit library includes modules to plot and visualize results and also to work with probabilities as first class entities. The data scientists programmer is enabled to search for patterns, discover relationships and convert probabilities into English statement that are easy to understand and communicate with non technical colleagues.
The Toolkit includes code samples written in Python as well as suite of tutorials written in Jupyter Notebooks. Additionally, there are ready-to-run recipes that illustrate how to use the Toolkit and its APIs to solve key probabilistic problems.