ML Software p:IGI

Introducing the ML Assistant

Clients using our ML tools often mention that it can be difficult to know which models to use. We generally advise users to start with the simplest appropriate model as a baseline (this is the default option), then to try additional models for comparison.

Chris Prosser

ML Team Lead

p:IGI

New auto-artefact support in p:IGI+ 2.3

Improved artefact management is a key update delivered in v2. 3. Auto-artefacts cover the majority of artefacts including graphs, palettes, maps, pages, rule sets, dynamic sample sets and statistics. In the new release, existing autographs have been reviewed and updated, and a range of new auto-artefact templates added.

Andrew Green

Senior Geochemist/Basin Modeller

ML

Patterns in the mind - Part 2

The second article in the “Art of Science” series, by Dan Cornford. This article extends the initial article which reviewed the notion of clustering and looks at some of the practical implications. IntroductionRecently we have added k-means clustering to p:IGI+, to supplement the data exploration capabilities of the software.

Dan Cornford

Managing Director​ & Data Scientist