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LoMRF is an open-source implementation of Markov Logic Networks

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Logical Markov Random Fields.
</pre>

# 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

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}
}
```

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