# Init predictor
print("Initializing the predictor...")
my_predictor = Predictor(train_path, test_path)
# Printing info
"""
print("Printing n_gram info...")
my_predictor.print_n_gram_info(n=4, array='train')
"""
# Building the prediction dictionary
print("Building the prediction dictionary...")
my_predictor.build_prediction_dictionary(n=5)
# Building the ngram occurence dictionary
print("Building the discounting factors...")
my_predictor.build_discounting_factor(n=5)
print("Computing the perplexity for laplace on test...")
my_predictor.print_perplexity('laplace', 5, 'test')
print("Computing the perplexity for backoff on test...")
my_predictor.print_perplexity('backoff', 5, 'test')
print("Computing the perplexity for laplace on train...")
my_predictor.print_perplexity('laplace', 5, 'train')
print("Computing the perplexity for backoff on train...")
my_predictor.print_perplexity('backoff', 5, 'train')
