ERROR __main__ - bad input shape (1, 5)

[shicl]

2019-05-10 17:00:11+0800 [-] No Jieba Default Dictionary found
2019-05-10 17:00:11+0800 [-] No Jieba User Dictionary found
2019-05-10 17:00:14+0800 [-] Building prefix dict from the default dictionary ..
.
2019-05-10 17:00:14+0800 [-] Loading model from cache C:\Users\ADMINI~1\AppData
Local\Temp\jieba.cache
2019-05-10 17:00:15+0800 [-] Loading model cost 1.646 seconds.
2019-05-10 17:00:15+0800 [-] Prefix dict has been built succesfully.
2019-05-10 17:00:15+0800 [-] 2019-05-10 17:00:15 ERROR main - bad input
shape (1, 5)
2019-05-10 17:00:15+0800 [-] Traceback (most recent call last):
2019-05-10 17:00:15+0800 [-] File "D:\Rasa_NLU_Chi\rasa_nlu\server.py", line 2
39, in parse
2019-05-10 17:00:15+0800 [-] else threads.deferToThread(self.data_router.par
se, data))
2019-05-10 17:00:15+0800 [-] File "D:\ProgramData\Anaconda3.5\lib\site-package
s\twisted\python\threadpool.py", line 250, in inContext
2019-05-10 17:00:15+0800 [-] result = inContext.theWork()
2019-05-10 17:00:15+0800 [-] File "D:\ProgramData\Anaconda3.5\lib\site-package
s\twisted\python\threadpool.py", line 266, in
2019-05-10 17:00:15+0800 [-] inContext.theWork = lambda: context.call(ctx, f
unc, *args, **kw)

Rasa NLU version 0.12.2:

Operating system windows:

Content of model configuration file:
language: "zh"

pipeline:

• name: "nlp_mitie"
  model: "data/total_word_feature_extractor_zh.dat"
• name: "tokenizer_jieba"
• name: "ner_mitie"
• name: "ner_synonyms"
• name: "intent_entity_featurizer_regex"
• name: "intent_featurizer_mitie"
• name: "intent_classifier_sklearn"

Issue:

[ilham-bintang]

Same issue

[hongtw]

Same issue

[AlucardNosferatu]

Same issue

[AlucardNosferatu]

Server CMD:

C:\Users\16413\Documents\GitHub\Rasa_NLU_Chi>python -m rasa_nlu.server -c sample_configs/config_jieba_mitie.yml --path models
:0: UserWarning: You do not have a working installation of the service_identity module: 'No module named 'service_identity''. Please install it from https://pypi.python.org/pypi/service_identity and make sure all of its dependencies are satisfied. Without the service_identity module, Twisted can perform only rudimentary TLS client hostname verification. Many valid certificate/hostname mappings may be rejected.
2019-11-30 17:44:47 WARNING py.warnings - C:\Users\16413\Documents\GitHub\Rasa_NLU_Chi\rasa_nlu\utils_init_.py:236: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
return yaml.load(read_file(filename, "utf-8"))

2019-11-30 17:44:47+0800 [-] Log opened.
2019-11-30 17:44:47+0800 [-] Site starting on 5000
2019-11-30 17:44:47+0800 [-] Starting factory <twisted.web.server.Site object at 0x000001F3307EB2B0>
2019-11-30 17:44:52.203952: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_100.dll'; dlerror: cudart64_100.dll not found
2019-11-30 17:44:52.208159: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2019-11-30 17:44:56+0800 [-] No Jieba Default Dictionary found
2019-11-30 17:44:56+0800 [-] No Jieba User Dictionary found
2019-11-30 17:44:56+0800 [-] Building prefix dict from the default dictionary ...
2019-11-30 17:44:56+0800 [-] Loading model from cache C:\Users\16413\AppData\Local\Temp\jieba.cache
2019-11-30 17:44:57+0800 [-] Loading model cost 0.561 seconds.
2019-11-30 17:44:57+0800 [-] Prefix dict has been built succesfully.
2019-11-30 17:44:57+0800 [-] 2019-11-30 17:44:57 ERROR main - bad input shape (1, 5)
2019-11-30 17:44:57+0800 [-] Traceback (most recent call last):
2019-11-30 17:44:57+0800 [-] File "C:\Users\16413\Documents\GitHub\Rasa_NLU_Chi\rasa_nlu\server.py", line 239, in parse
2019-11-30 17:44:57+0800 [-] else threads.deferToThread(self.data_router.parse, data))
2019-11-30 17:44:57+0800 [-] File "D:\ProgramData\Anaconda3\lib\site-packages\twisted\python\threadpool.py", line 250, in inContext
2019-11-30 17:44:57+0800 [-] result = inContext.theWork()
2019-11-30 17:44:57+0800 [-] File "D:\ProgramData\Anaconda3\lib\site-packages\twisted\python\threadpool.py", line 266, in
2019-11-30 17:44:57+0800 [-] inContext.theWork = lambda: context.call(ctx, func, *args, **kw)
2019-11-30 17:44:57+0800 [-] File "D:\ProgramData\Anaconda3\lib\site-packages\twisted\python\context.py", line 122, in callWithContext
2019-11-30 17:44:57+0800 [-] return self.currentContext().callWithContext(ctx, func, *args, **kw)
2019-11-30 17:44:57+0800 [-] File "D:\ProgramData\Anaconda3\lib\site-packages\twisted\python\context.py", line 85, in callWithContext
2019-11-30 17:44:57+0800 [-] return func(*args,**kw)
2019-11-30 17:44:57+0800 [-] File "C:\Users\16413\Documents\GitHub\Rasa_NLU_Chi\rasa_nlu\data_router.py", line 242, in parse
2019-11-30 17:44:57+0800 [-] model)
2019-11-30 17:44:57+0800 [-] File "C:\Users\16413\Documents\GitHub\Rasa_NLU_Chi\rasa_nlu\project.py", line 123, in parse
2019-11-30 17:44:57+0800 [-] response = self._models[model_name].parse(text, time)
2019-11-30 17:44:57+0800 [-] File "C:\Users\16413\Documents\GitHub\Rasa_NLU_Chi\rasa_nlu\model.py", line 340, in parse
2019-11-30 17:44:57+0800 [-] component.process(message, **self.context)
2019-11-30 17:44:57+0800 [-] File "C:\Users\16413\Documents\GitHub\Rasa_NLU_Chi\rasa_nlu\classifiers\sklearn_intent_classifier.py", line 172, in process
2019-11-30 17:44:57+0800 [-] intents = self.transform_labels_num2str(intent_ids)
2019-11-30 17:44:57+0800 [-] File "C:\Users\16413\Documents\GitHub\Rasa_NLU_Chi\rasa_nlu\classifiers\sklearn_intent_classifier.py", line 108, in transform_labels_num2str
2019-11-30 17:44:57+0800 [-] return self.le.inverse_transform(y)
2019-11-30 17:44:57+0800 [-] File "D:\ProgramData\Anaconda3\lib\site-packages\sklearn\preprocessing\label.py", line 273, in inverse_transform
2019-11-30 17:44:57+0800 [-] y = column_or_1d(y, warn=True)
2019-11-30 17:44:57+0800 [-] File "D:\ProgramData\Anaconda3\lib\site-packages\sklearn\utils\validation.py", line 797, in column_or_1d
2019-11-30 17:44:57+0800 [-] raise ValueError("bad input shape {0}".format(shape))
2019-11-30 17:44:57+0800 [-] ValueError: bad input shape (1, 5)
2019-11-30 17:44:57+0800 [-] "127.0.0.1" - - [30/Nov/2019:09:44:57 +0000] "GET /parse?q=%E6%88%91%E5%8F%91%E7%83%A7%E4%BA%86&project=default&model=model_20191130-170456 HTTP/1.1" 500 39 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.108 Safari/537.36"
2019-11-30 17:45:52+0800 [-] Timing out client: IPv4Address(type='TCP', host='127.0.0.1', port=13639)

[AlucardNosferatu]

POST:
http://127.0.0.1:5000/parse
JSON:
{"q":"我发烧了该吃什么药？", "project": "default", "model": "model_20191130-170456"}

RESPONSE:
{
"error": "bad input shape (1, 5)"
}

[WavesLi]

@AlucardNosferatu @hongtw @NullPhantom Have you resolved this question?

[WavesLi]

@AlucardNosferatu @hongtw @NullPhantom When I changed the version of scikit-learn to scikit-learn==0.19.0, the issue was resolved, and if you have resolved the issue like this please close the issuse

[AlucardNosferatu]

@AlucardNosferatu @hongtw @NullPhantom When I changed the version of scikit-learn to scikit-learn==0.19.0, the issue was resolved, and if you have resolved the issue like this please close the issuse

ok, I'll have a try

[c123853648]

@AlucardNosferatu @hongtw @NullPhantom When I changed the version of scikit-learn to scikit-learn==0.19.0, the issue was resolved, and if you have resolved the issue like this please close the issuse

if change scikit-learn==0.19.0.I get this error

2020-02-26 15:54:38+0800 [-] 2020-02-26 15:54:38 ERROR main - Can't get attribute 'DeprecationDict' on <module 'sklearn.utils.deprecation' from 'D:\ProgramData\Anaconda3\envs\py36\lib\site-packages\sklearn\utils\deprecation.py'>
2020-02-26 15:54:38+0800 [-] Traceback (most recent call last):
2020-02-26 15:54:38+0800 [-] File "D:\e\2020\AIMP\Rasa\Rasa_NLU_Chi-master\rasa_nlu\server.py", line 240, in parse
2020-02-26 15:54:38+0800 [-] else threads.deferToThread(self.data_router.parse, data))
2020-02-26 15:54:38+0800 [-] File "D:\ProgramData\Anaconda3\envs\py36\lib\site-packages\twisted\python\threadpool.py", line 250, in inContext
2020-02-26 15:54:38+0800 [-] result = inContext.theWork()
2020-02-26 15:54:38+0800 [-] File "D:\ProgramData\Anaconda3\envs\py36\lib\site-packages\twisted\python\threadpool.py", line 266, in
2020-02-26 15:54:38+0800 [-] inContext.theWork = lambda: context.call(ctx, func, *args, **kw)
2020-02-26 15:54:38+0800 [-] File "D:\ProgramData\Anaconda3\envs\py36\lib\site-packages\twisted\python\context.py", line 122, in callWithContext
2020-02-26 15:54:38+0800 [-] return self.currentContext().callWithContext(ctx, func, *args, **kw)
2020-02-26 15:54:38+0800 [-] File "D:\ProgramData\Anaconda3\envs\py36\lib\site-packages\twisted\python\context.py", line 85, in callWithContext
2020-02-26 15:54:38+0800 [-] return func(*args,**kw)
2020-02-26 15:54:38+0800 [-] File "D:\e\2020\AIMP\Rasa\Rasa_NLU_Chi-master\rasa_nlu\data_router.py", line 242, in parse
2020-02-26 15:54:38+0800 [-] model)
2020-02-26 15:54:38+0800 [-] File "D:\e\2020\AIMP\Rasa\Rasa_NLU_Chi-master\rasa_nlu\project.py", line 118, in parse
2020-02-26 15:54:38+0800 [-] interpreter = self._interpreter_for_model(model_name)
2020-02-26 15:54:38+0800 [-] File "D:\e\2020\AIMP\Rasa\Rasa_NLU_Chi-master\rasa_nlu\project.py", line 196, in _interpreter_for_model
2020-02-26 15:54:38+0800 [-] return Interpreter.create(metadata, self.component_builder)
2020-02-26 15:54:38+0800 [-] File "D:\e\2020\AIMP\Rasa\Rasa_NLU_Chi-master\rasa_nlu\model.py", line 303, in create
2020-02-26 15:54:38+0800 [-] model_metadata, **context)
2020-02-26 15:54:38+0800 [-] File "D:\e\2020\AIMP\Rasa\Rasa_NLU_Chi-master\rasa_nlu\components.py", line 398, in load_component
2020-02-26 15:54:38+0800 [-] cached_component, **context)
2020-02-26 15:54:38+0800 [-] File "D:\e\2020\AIMP\Rasa\Rasa_NLU_Chi-master\rasa_nlu\registry.py", line 130, in load_component_by_name
2020-02-26 15:54:38+0800 [-] return component_clz.load(model_dir, metadata, cached_component, **kwargs)
2020-02-26 15:54:38+0800 [-] File "D:\e\2020\AIMP\Rasa\Rasa_NLU_Chi-master\rasa_nlu\classifiers\sklearn_intent_classifier.py", line 233, in load
2020-02-26 15:54:38+0800 [-] return utils.pycloud_unpickle(classifier_file)
2020-02-26 15:54:38+0800 [-] File "D:\e\2020\AIMP\Rasa\Rasa_NLU_Chi-master\rasa_nlu\utils_init.py", line 322, in pycloud_unpickle
2020-02-26 15:54:38+0800 [-] return cloudpickle.load(f, encoding="latin-1")
2020-02-26 15:54:38+0800 [-] AttributeError: Can't get attribute 'DeprecationDict' on <module 'sklearn.utils.deprecation' from 'D:\ProgramData\Anaconda3\envs\py36\lib\site-packages\sklearn\utils\deprecation.py'>