To compile and test, just type 'make test'
- This small test consists in generating a sample set for a toy
+ This small test consists of generating a sample set for a toy
problem and testing CMIM, MIM and a random feature selection with
the naive Bayesian learner. The two populations of the toy problem
- lives in the [0,1]^2 square. The positive population is in x^2+y^2 <
+ live in the [0, 1]^2 square. The positive population is in x^2+y^2 <
1/4 and the negative population is everything else. Look at
create_samples.cc for more details. The features are responses of
linear classifiers generated at random.
--train <file: data set> <file: classifier>
- Build and save to disk a classifier
+ Build a classifier and save it on disk
--test <file: classifier> <file: data set> <file: result>