This repository provides an environment with 'pracmln' pre-installed (see: http://www.pracmln.org).
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This image contains a sandbox environment with 'pracmln' (http://www.pracmln.org) pre-installed, which is useful if you just need to tinker around with it.
Once running, you can either:
http://localhost:6080, change socket in Settings > Advanced > WebSocket > Port to 5900localhost:5900 and with password pracmlnYou can access the learning and inference GUIs using the commands mlnlearn and mlnquery, respectively.
[1] Nyga, D., Picklum, M., Beetz, M., et al., pracmln – Markov logic networks in Python, http://www.pracmln.org, Online; accessed May 17, 2019.
Content type
Image
Digest
Size
788.8 MB
Last updated
over 5 years ago
docker pull ronsm/pracmln