Browse Code
PCIT is a way to apply data-driven soft thresholding to correlation matrices in order to identify meaningful pairwise correlations. We have implemented automatic detection of suitable parallel environments to allow PCIT to run on a computer clusters.
Follow PCIT
You Might Also Like
The progression to modern application stacks and microservices architectures has resulted in orders of magnitude more logs, metrics, events, and traces. Like gravity, data attracts more data, making it increasingly difficult to move and process as it accumulates over time. More than ever, there is a need to be able to stream-process, filter, mask, transform, aggregate, analyze, and route that data to various data tier destinations optimized for specific usage.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of PCIT!