def train(train_data_dir, labels, sample_num):
f_index, y, X = FeatureFactor.getFeatureSpace(train_data_dir, labels,
sample_num)
saveTheFSpace(f_index)
model = Libsvm.train(y, X)
Libsvm.saveModel(model)
def train( train_data_dir, labels, sample_num ):
f_index, y, X = FeatureFactor.getFeatureSpace( train_data_dir, labels, sample_num )
saveTheFSpace( f_index )
model = Libsvm.train( y, X )
Libsvm.saveModel( model )
