Refactored, latest version of OLED & WOLED plus more tools for for online logical & relational learning.
You'll need to have Scala 2.12 with SBT (Scala Build Tool), JDK 8, and Python 2.7 installed on your machine.
- Clone or download the source code:
git clone https://github.com/nkatzz/OLED.git
cd OLED/install-scripts./install.sh- Update your
PATH,PYTHONPATHandLD_LIBRARY_PATH. Append the following lines to your~/.profile(or~/.bashrc) file:LD_LIBRARY_PATH=<PATH TO CLONED SOURCE>/OLED/external_dependencies/lpsolve55:$LD_LIBRARY_PATHexport LD_LIBRARY_PATHexport PATH=$PATH:<PATH TO CLONED SOURCE>/OLED/external_dependencies/LoMRF/target/universal/LoMRF-0.5.5-SNAPSHOT/bin:<PATH TO CLONED SOURCE>/OLED/external_dependencies/clingo/clingo-4.5.4-source/build/releaseexport PYTHONPATH=$PYTHONPATH:<PATH TO CLONED SOURCE>/OLED/external_dependencies/clingo/clingo-4.5.4-source/build/release/python
Detailed instructions on how to perform a test run with OLED are provided in the manual. Please refer to the manual for details on the data and the learning task we'll use for this test run. In sort:
- Install MongoDB.
- Download some data and some background knowledge at some location:
wget http://users.iit.demokritos.gr/~nkatz/oled/caviar-data.zipwget http://users.iit.demokritos.gr/~nkatz/oled/bk.zip
unzip caviar-data.zipunzip bk.zipcd caviar-data- Import the data into Mongo:
mongoimport --db caviar-train --collection examples --file caviar-train.jsonmongoimport --db caviar-test --collection examples --file caviar-test.json
- Make sure everything is ok (after axecuting the
show dbscommand you should see the newly-created dbs 'caviar-train' and 'caviar test'):mongoshow dbs