We used machine learning to teach a tool to approximate the complex analysis of visual and spatial connectivity, by training it with a generative dataset of tens of thousands of actual analysis. The predicted output is extremely comparable to the actual analysis and takes around 0.03 seconds to calculate, οffering vastly improved speeds.