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readme文件的代码关键字
近期在看模型的时候,因为README.md文件里涉及到了代码,但是markdown文件里代码的变量为Python的关键字str,如下所示,
import time
from bert_base.client import BertClient
with BertClient(show_server_config=False, check_version=False, check_length=False, mode='NER') as bc:
start_t = time.perf_counter()
str = '1月24日,新华社对外发布了中央对雄安新区的指导意见,洋洋洒洒1.2万多字,17次提到北京,4次提到天津,信息量很大,其实也回答了人们关心的很多问题。'
rst = bc.encode([str, str])
pri
I have prepared my test file containing this 3 lines :
Survey B-DOC
Report I-DOC
Geographic I-DOC
when I make run, I get this error :
default = tags[NONE]
KeyError: 'O'
makefile:7: recipe for target 'run' failed
make: *** [run] Error 1
Could you please help me.
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When the code is doing the evaluation, there is an error when returning the evaluation result : result = estimator.evaluate(input_fn=eval_input_fn). Detailed error is probably related to the confusion matrix.
It says that: TypeError: eval_metric_ops[confusion_matrix] must be Operation or Tensor, given: <tf.Variable 'total_confusion_matrix:0' shape=(12, 12) dtype=float64_ref>
my tensorflo
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flake8 testing of https://github.com/juand-r/entity-recognition-datasets on Python 3.7.0
$ flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --statistics
./data/NIST_IEER/CONLL-format/utils/quick_comma_fix.py:41:37: E999 SyntaxError: invalid syntax
print annotations
^
./data/NIST_IEER/
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_____________________ ERROR collecting test_krl_transe.py _____________________
test_krl_transe.py:26: in
krl.train(train_path, model_type=model_type, dev_path=train_path, save_path='./krl_{}_saves'.format(model_type))
..........\Anaconda3\envs\python367\lib\site-packages\lightkg\krl\module.py:29: in train
train_dataset = rl_tool.get_dataset(train_path)
..........\Ana
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I have some values in slots that are surrounded by curly braces and are meant to be returned as is. Instead, the trailing brace is being stripped. "${website}" becomes "${website". I have training examples where the whole "${website}" is included. Is there a way to change this behavior?