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- ==================
- Troubleshooting
- ==================
- 32 bit architecture issues
- --------------------------
- We've experience some memory issues when using a computer with 32 bit architecture. This is because by default we use the
- Stanford CoreNLP (java based), which has some special needs about the memory. Read about them more in detail `here <http://nlp.stanford.edu/software/tagger.shtml>`__
- We quote:
- The system requires Java 1.8+ to be installed. Depending on whether you're running 32 or 64 bit Java and the complexity of the tagger model, you'll need somewhere between 60 and 200 MB of memory to run a trained tagger (i.e., you may need to give java an option like java -mx200m)
- What have worked for us is adding the following environment variable before running iepy:
- .. code-block:: bash
- export _JAVA_OPTIONS='-Xms1024M -Xmx1024m'
- You can modify those numbers to your convenience.
- Preprocess not running under MacOS
- ----------------------------------
- Problems with the preprocess under MacOS? Apparently a change in the CoreNLP script is needed to
- be run. You need to change the file ``corenlp.sh`` that is located on
- ``/Users/<your user>/Library/Application Support/iepy/stanford-corenlp-full-2014-08-27/``
- and change ``scriptdir=`dirname $0``` for ``scriptdir=`dirname "$0"``` (ie, add double quotes around ``$0``)
- Can't install IEPY with python 2
- --------------------------------
- Indeed, IEPY works with Python 3.4 or higher.
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