https://github.com/anskarl/LoMRF
LoMRF is an open-source implementation of Markov Logic Networks
https://github.com/anskarl/LoMRF
graphical-models inference logic machine-learning probabilistic-programming scala
Last synced: 6 months ago
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LoMRF is an open-source implementation of Markov Logic Networks
- Host: GitHub
- URL: https://github.com/anskarl/LoMRF
- Owner: anskarl
- License: apache-2.0
- Created: 2014-05-24T22:29:28.000Z (over 11 years ago)
- Default Branch: develop
- Last Pushed: 2024-09-07T19:50:58.000Z (about 1 year ago)
- Last Synced: 2025-05-09T00:10:07.730Z (6 months ago)
- Topics: graphical-models, inference, logic, machine-learning, probabilistic-programming, scala
- Language: Scala
- Homepage: https://anskarl.github.io/LoMRF
- Size: 17.5 MB
- Stars: 84
- Watchers: 8
- Forks: 18
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.TXT
Awesome Lists containing this project
- awesome-scala - LoMRF - source implementation of Markov Logic Networks |   (Table of Contents / Science and Data Analysis)
- fucking-awesome-scala - LoMRF - source implementation of Markov Logic Networks |   (Table of Contents / Science and Data Analysis)
- fucking-awesome-scala - LoMRF - source implementation of Markov Logic Networks |   (Table of Contents / Science and Data Analysis)
README
[](https://github.com/anskarl/LoMRF/tree/develop)
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Logical Markov Random Fields.
# LoMRF: Logical Markov Random Fields
LoMRF is an open-source implementation of [Markov Logic Networks](https://en.wikipedia.org/wiki/Markov_logic_network) (MLNs) written in [Scala programming language](http://scala-lang.org).
## Features overview:
1. Parallel grounding algorithm based on [Akka Actors library](http://akka.io).
2. Marginal (MC-SAT) and MAP (MaxWalkSAT and LP-relaxed Integer Linear Programming) inference (**lomrf infer**).
3. Batch and on-line Weight Learning (Max-Margin, AdaGrad and CDA) (**lomrf wlearn**).
4. On-line Structure Learning (OSL and OSLa) (**lomrf slearn**).
5. MLN knowledge base compilation (**lomrf compile**):
* Predicate completion.
* Clausal form transformation.
* Replacement of functions with utility predicates and vice versa.
* Reads and produces [Alchemy](http://alchemy.cs.washington.edu/alchemy1.html) compatible MLN files.
6. Can export ground MRF in various formats (**lomrf export**).
7. Can compare MLN theories (**lomrf diff**).
8. Online supervision completion on semi-supervised training sets [*currently experimental*] (**lomrf supervision**)
## Documentation
Latest [documentation](docs/index.md).
## Contributions
Contributions are welcome, for details see [CONTRIBUTING.md](CONTRIBUTING.md).
## License
Copyright (c) 2014 - 2019 Anastasios Skarlatidis and Evangelos Michelioudakis
LoMRF is licensed under the Apache License, Version 2.0: [https://www.apache.org/licenses/LICENSE-2.0](https://www.apache.org/licenses/LICENSE-2.0)
## Reference in Scientific Publications
Please use the following BibTex entry when you cite LoMRF in your papers:
```
@misc{LoMRF,
author = {Anastasios Skarlatidis and Evangelos Michelioudakis},
title = {{Logical Markov Random Fields (LoMRF): an open-source implementation of Markov Logic Networks}},
url = {https://github.com/anskarl/LoMRF},
year = {2014}
}
```