commands.txt

python dataClassifier.py  
python dataClassifier.py -h 
Options:
  -h, --help            show this help message and exit
  -c CLASSIFIER, --classifier=CLASSIFIER
                        The type of classifier [Default: mostFrequent]
  -d DATA, --data=DATA  Dataset to use [Default: digits]
  -t TRAINING, --training=TRAINING
                        The size of the training set [Default: 100]
  -f, --features        Whether to use enhanced features [Default: False]
  -o, --odds            Whether to compute odds ratios [Default: False]
  -1 LABEL1, --label1=LABEL1
                        First label in an odds ratio comparison [Default: 0]
  -2 LABEL2, --label2=LABEL2
                        Second label in an odds ratio comparison [Default: 1]
  -w, --weights         Whether to print weights [Default: False]
  -k SMOOTHING, --smoothing=SMOOTHING
                        Smoothing parameter (ignored when using --autotune)
                        [Default: 2.0]
  -a, --autotune        Whether to automatically tune hyperparameters
                        [Default: False]
  -i ITERATIONS, --iterations=ITERATIONS
                        Maximum iterations to run training [Default: 3]
  -s TEST, --test=TEST  Amount of test data to use [Default: 100]

eg. if you want use 100% traningdata and 100% testdata and naiveBayes classifier 
use this command: py dataClassifier.py -c naiveBayes -s 50 -t 450 -f