def run_testing(params, input_files):
	debug_level = params['debug_level']

	generate_arff(params, input_files)

	if 0 > debug_level:
		temp = "++ testing data against model file"
		debug_print(1, debug_level, temp)

	### run test data against model
	### -i: more detail results
	cmd =  'java -Xmx1G -cp ' + params['weka_path'] + 'weka.jar '
	cmd += params['classifier'] + ' -T ' + params['arff_file']
	cmd += ' -l ' + params['model_file']
	os.system(cmd)


###############################################################################
### Dump text chunks pre-pended with classification group for subsequent
### n-gram generation and word frequency analysis
###############################################################################
dataset/ETHPy150Open joliva/nlp-nltk-demo/code/hw2utils.py/run_testing/swapped operands of `>`