Published June 22, 2021
| Version v1.0.0
Software
Open
Interactive-Decision-Trees
Authors/Creators
- 1. Water and Environmental Engineering, Department of Civil Engineering, University of Bristol, Bristol, United Kingdom
- 2. Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
Description
This is the first release of Interactive Decision Trees package. It contains Python modules that enable the user to interact with the Decision Tree by creating new composite variables, grouping the input variables and color code the groups, selecting important variables, manually change variable and threshold to split, manually change leaf node class and manually prune the Decision Tree. Moreover, it contains a graphical user interface in Jupyter Lab notebook for supporting the user-decision tree interactions.
Files
Sarailidis/Interactive-Decision-Trees-v1.0.0.zip
Files
(4.8 MB)
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md5:8021842f48437a67afe18a2fe357a265
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Additional details
Related works
- Is supplement to
- https://github.com/Sarailidis/Interactive-Decision-Trees/tree/v1.0.0 (URL)
Funding
- UK Research and Innovation
- Robust and transparent planning and operation of water resource infrastructure EP/R007330/1
- UK Research and Innovation
- EPSRC Centre for Doctoral Training in Water Informatics: Science and Engineering (WISE) EP/L016214/1