Python命名实体识别错误：IndexError：列表索引超出范围

嗨，我是新来的python，并试图运行脚本（ https://github.com/detuvoldo/tagger ），我取代了utils.py中的2行，因为我使用Windows 10，并有一些path相关的问题。

models_path = u"\\\\?\\" + os.path.abspath(u".\\models") eval_path = os.path.abspath(u".\\evaluation") 

错误是

 run train.py --train lstm/fold1/train --dev lstm/fold1/dev --test lstm/fold1/test WARNING (theano.sandbox.cuda): The cuda backend is deprecated and will be removed in the next release (v0.10). Please switch to the gpuarray backend. You can get more information about how to switch at this URL: https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpuarray%29 Using gpu device 0: GeForce GT 620M (CNMeM is enabled with initial size: 85.0% of memory, cuDNN not available) Model location: \?\E:\New-Code\tagger-master\tagger-master\models\tag_scheme=iob,lower=False,zeros=False,char_dim=25,char_lstm_dim=25,char_bidirect=True,word_dim=100,word_lstm_dim=100,word_bidirect=True,pre_emb=,all_emb=False,cap_dim=0,crf=True,dropout=0.3,lr_method=sgd-lr_.005 Found 2573 unique words (48986 in total) Found 64 unique characters Found 27 unique named entity tags 858 / 289 / 286 sentences in train / dev / test. Saving the mappings to disk... Compiling... Starting epoch 0... 50, cost average: 101.645935 100, cost average: 83.234520 150, cost average: 82.757523 200, cost average: 69.019493 250, cost average: 64.411346 300, cost average: 62.836563 350, cost average: 60.969635 400, cost average: 58.851826 450, cost average: 49.994457 ID NE Total O I-LOC B-CTT B-OBJ B-LOC B-ACR B-INT B-PRC I-FACE I-PRC I-ACR I-OBJ B-FNUM I-FNUM I-DDIR B-FACEI-BEDNUM I-CTT B-DDIR I-INTB-BEDNUMB-BATHNUMI-BATHNUM I-FPOS B-FPOS I-BDIR B-BDIR Percent 0 O 9314 9175 0 63 14 0 0 62 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 98.508 1 I-LOC 2604 2602 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 2 B-CTT 478 245 0 233 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 48.745 3 B-OBJ 464 282 0 0 177 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 38.147 4 B-LOC 439 439 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 5 B-ACR 346 334 0 1 1 0 7 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2.023 6 B-INT 339 126 0 0 32 0 0 181 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 53.392 7 B-PRC 233 232 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 8 I-FACE 218 218 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 9 I-PRC 232 225 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 10 I-ACR 214 203 0 0 2 0 1 0 0 0 0 7 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3.271 11 I-OBJ 201 198 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 12 B-FNUM 170 156 0 0 5 0 0 8 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 13 I-FNUM 166 157 0 0 8 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 14 I-DDIR 170 169 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 15 B-FACE 120 120 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 16I-BEDNUM 103 103 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 17 I-CTT 103 98 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 18 B-DDIR 83 83 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 19 I-INT 57 56 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 20B-BEDNUM 57 57 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 21B-BATHNUM 44 44 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 22I-BATHNUM 45 44 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 23 I-FPOS 42 42 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 24 B-FPOS 37 36 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 25 I-BDIR 22 22 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 26 B-BDIR 6 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000 9780/16307 (59.97424%) Traceback (most recent call last): File "E:\New-Code\tagger-master\tagger-master\train.py", line 221, in dev_data, id_to_tag, dico_tags, epoch) File "utils.py", line 284, in evaluate return float(eval_lines[1].strip().split()[-1]) IndexError: list index out of range 

你可以请build议一些可以帮助我解决错误的东西吗？ 我被困在最后2个月。 谢谢

 models_path = "models" eval_path = "evaluation" eval_temp = os.path.join(eval_path, "temp") eval_script = os.path.join(eval_path, "conlleval")