DiscretePath

macOS / Productivité

'DiscretePath' is software for drawing, visualizing and analyzing medium-sized graphs (networks). Graphs of up to 20,000 edges (links) can be drawn in a reasonable amount of time. Larger graphs can also be imported and drawn, but this takes longer. Most analyzes can be performed on medium sized graphs, except when non-polynomial algorithms or very complex matrices need to be constructed.
An 'Artificial Intelligence' module has been added. This module covers A.I. algorithms that use graphs in some form. The first supervised learning A.I. algorithms that are covered are: "Decision Trees". The decision tree algorithms can handle both categorical and numerical data and can be used for both classification and regression tasks.
At https://www.intrinsic-code.eu you will find the 'User manual' which visually explains how to use the software, as well as additional information and background on the many software functions and algorithms used in the analyses.

Quoi de neuf dans la dernière version ?

Improvements:
- The module for building predictive models using decision trees has been expanded.
In previous versions, models could be built using a single decision tree. In this version, models can also be built using ensembles of decision trees. To build the ensemble of decision trees, 'Bagging' (Bootstrap Aggregation) is used.
The 'User Manual' and the document 'Some explanation of the algorithms used in DiscretePath' explain the use and background of the 'ensemble' method in detail.
- Some adjustments have been made to the 'decision tree' and 'clustering' modules to be able to handle larger datasets more efficiently.

Bug fix:
- Saving a decision tree as a graph while analyzing data resulted in a saved file with only a black background. This bug has been fixed.