f.close()
file2open = 'essays/bad/{}'.format(number + 1)
f = codecs.open(file2open, 'r', encoding='utf-8')
essay = f.read()
bad_buffer = model.calculate_score(essay)
bad_buffer = int(round(float(bad_buffer)))
print(bad_buffer)
scores.append(bad_buffer)
# if bad_buffer == 1:
# gts.append(1)
# elif bad_buffer == 0:
# gts.append(0)
# else:
if flag_b % 2 == 1:
gts.append(3)
else:
gts.append(3)
flag_b = flag_b + 1
print("appending...(" + str(round(float(
(number + 1)) / 30.0 * 100, 1)) + "% completed)")
f.close()
print scores
print gts
final = qwk(scores, gts)
print('qwk = ' + str(final))
def quadratic_weighted_kappa(rater_a, rater_b, min_rating, max_rating):
assert_inputs(rater_a, rater_b)
return qwk(rater_a, rater_b, min_rating, max_rating)
def ikappa(t, x, minmax=None):
if minmax is None:
return qwk(t, x)
minmax = np.array(minmax, np.int32)
return qwk(t, x, minmax.min(), minmax.max())