expected_indices = y_test.argmax(axis=1)
labels = dp.get_label_table()
nn_labels = labels[nn_indices]
nn_labels = np.take(nn_labels, 1, axis=1)
expected_labels = labels[expected_indices]
expected_labels = np.take(expected_labels, 1, axis=1)
if len(nn_labels) == len(expected_labels) and len(nn_labels) == len(
ip_letters):
pass
else:
raise Exception("mismatch in number of elements in the array")
nn_op_letters = dp.concatenate_char_and_diacritization(
ip_letters, nn_labels)
expected_op_letters = op_letters
list_of_sentence_numbers = DBHelperMethod.get_list_of_sentence_numbers_by(
'testing')
list_of_all_words_and_sent_num = get_all_undiac_words('testing')
current_sentence_counter = 0
counter = 0
start_range = 0
end_range = 0
all_sentences = DBHelperMethod.get_all_sentences_by('testing')
for sentence_number in list_of_sentence_numbers:
#sentence_number = 2838
print("we will begin processing in sentence number:", sentence_number)
indices_of_selected_sentence = np.where(
expected_indices.append(each_char_in_seq.argmax())
labels = dp.get_label_table()
nn_labels = labels[nn_indices]
nn_labels = np.take(nn_labels, 1, axis=1)
expected_labels = labels[expected_indices]
expected_labels = np.take(expected_labels, 1, axis=1)
if len(nn_labels) == len(
expected_labels): # and len(nn_labels) == len(ip_letters):
pass
else:
raise Exception("mismatch in number of elements in the array")
nn_op_letters = dp.concatenate_char_and_diacritization(
ip_letters, nn_labels)
expected_op_letters = op_letters
list_of_sentence_numbers = DBHelperMethod.get_list_of_sentence_numbers_by(
'testing')
list_of_all_words_and_sent_num = get_all_undiac_words('testing')
current_sentence_counter = 0
counter = 0
start_range = 0
end_range = 0
all_sentences = DBHelperMethod.get_all_sentences_by('testing')
for sentence_number in list_of_sentence_numbers:
# sentence_number = 3228
pad_counter = 0
print("we will begin processing in sentence number:", sentence_number)
