def _generate_model(self, filename, num_rows, cached=False):
print("Generating model...")
model = ItemSetModel()
if(not cached):
print("Assembling data...")
X, Y = model.get_data_sets(num_rows,cache=True)
else:
print("Loading cached data...")
X, Y = model.get_cached_data(num_rows)
model.train(X, Y, train_ratio=0.8)
print("Saving model to file...")
model.save(filename)
