Machine Learning Toolkit Update: Multi-parameter FRESH and updated utilities

25 Apr 2019 | , ,

This latest toolkit release, is the first in a series of planned releases in 2019 that will add updates to the functionality of the FRESH (Feature Extraction based on Scalable Hypothesis tests) algorithm and the addition of a number of accuracy metrics, preprocessing functions and utilities. In conjunction with code changes, modifications to the namespace structure of the toolkit have been made to streamline the code and improve user experience.

Message from the Kx COO Mark Sykes

29 May 2018 | , , , , , , , , , ,

On May 18th, we hosted Kx25, the largest international kdb+ user event ever. Having the opportunity to get broad feedback from our user community is a hugely important exercise for us. We know that many of our users have built their careers around kdb+, and we recognize our responsibility to them. That is why we work so hard to constantly improve the world class software we deliver. Kx is unique in its facility to both listen, and respond, with significant changes to each new annual release of kdb+ and our supporting range of products, solutions and tools.