sempre/interactive
Sida Wang fe4e034b90 resume changes and perf improvements 2017-04-06 07:48:15 -07:00
..
community-server rename, README, refactor master 2017-03-28 10:13:05 -07:00
queries rename, README, refactor master 2017-03-28 10:13:05 -07:00
README.md resume changes and perf improvements 2017-04-06 07:48:15 -07:00
analyze_definitions.ipynb resume changes and perf improvements 2017-04-06 07:48:15 -07:00
analyzer.py rename, README, refactor master 2017-03-28 10:13:05 -07:00
csscolors.lexicon rename, README, refactor master 2017-03-28 10:13:05 -07:00
dal.grammar Rename DAL.grammar to dal.grammar 2017-03-28 12:00:17 -07:00
generate_plots.ipynb rename, README, refactor master 2017-03-28 10:13:05 -07:00
run resume changes and perf improvements 2017-04-06 07:48:15 -07:00
testng.xml rename, README, refactor master 2017-03-28 10:13:05 -07:00
voxelurn.grammar resume changes and perf improvements 2017-04-06 07:48:15 -07:00

README.md

README

Running an experiment

  1. Start the server

    ./interactive/run @mode=voxelurn -server

  2. Query the server with existing data

    ./interactive/run @mode=simulator @server=local @sandbox=none @task=freebigdef

  3. Run analysis script to get results

    ./interactive/run @mode=analyze

  4. (Optional) clean up

    ./interactive/run @mode=backup # save previous data logs ./interactive/run @mode=trash # deletes previous data logs

Running the server for voxelurn

  1. Start the sempre server

    ./interactive/run @mode=voxelurn -server

  2. Start the client server

    ./interactive/run @mode=community

  3. (optionally) Blast the server with previous logs to get the server into state

    ./interactive/run @mode=simulator @server=local @sandbox=none @task=freebig

Tests

There are many units for interactive learning

./interactive/run @mode=test

To specify a specific test class and verbosity

./interactive/run @mode=test @class=DALExecutorTest -verbose 5

Test in interactive mode

./interactive/run @mode=voxelurn -interactive