Source

asap /

Filename Size Date modified Message
report
34.3 KB
636 B
800 B
14.2 KB
1.1 KB
12.6 KB
1.1 KB
1011 B
Software Used
-------------

* Python 2.7.3
* numpy 1.6.2
* scipy 0.10.1
* scikit-learn git dbcf8bbb9e1e79df047946adc5bc4ec87338284d
* liblinear 1.91
* libsvm 3.12
* hunspell 1.3.2
* ml_metrics 0.1.2 (http://pypi.python.org/pypi/ml_metrics/0.1.2)


Usage
-----

1. Place the training data in `data_orig/train_rel_2.tsv` and the data
file to be predicted in `data_orig/public_leaderboard_rel_2.tsv`

2. Run the script `run.sh`

		$ time ./run.sh
		4c linr
		6c linr
		4cc linr
		6cc linr
		4c liblinear
		...

		real    493m55.591s
		user    3050m12.014s
		sys     5m15.663s


3. Predictions are stored to a file named `submission.csv`.