# Error while training rasa with small english model(en\_core\_web\_sm) and SklearnIntentClassifier **URL:** \ **Category:** Rasa Open Source\ **Created:** [January 27, 2021, 2:40pm UTC](https://forum.rasa.com/t/error-while-training-rasa-with-small-english-model-en-core-web-sm-and-sklearnintentclassifier/39533 "2021-01-27T14:40:24Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![PriyankaLuthra](https://avatars.discourse-cdn.com/v4/letter/p/e274bd/32.png) [@PriyankaLuthra](https://forum.rasa.com/u/PriyankaLuthra)\ **Post date:** [January 27, 2021, 2:40pm UTC](https://forum.rasa.com/t/error-while-training-rasa-with-small-english-model-en-core-web-sm-and-sklearnintentclassifier/39533/1 "2021-01-27T14:40:24Z")
## Error while training (rasa train nlu) ```auto Training NLU model... 2021-01-27 14:30:42 INFO rasa.nlu.utils.spacy_utils - Trying to load spacy model with name 'en_core_web_sm' 2021-01-27 14:30:43 INFO rasa.nlu.components - Added 'SpacyNLP' to component cache. Key 'SpacyNLP-en_core_web_sm'. 2021-01-27 14:30:43 INFO rasa.shared.nlu.training_data.training_data - Training data stats: 2021-01-27 14:30:43 INFO rasa.shared.nlu.training_data.training_data - Number of intent examples: 6 (2 distinct intents) 2021-01-27 14:30:43 INFO rasa.shared.nlu.training_data.training_data - Found intents: 'greet', 'inform' 2021-01-27 14:30:43 INFO rasa.shared.nlu.training_data.training_data - Number of response examples: 0 (0 distinct responses) 2021-01-27 14:30:43 INFO rasa.shared.nlu.training_data.training_data - Number of entity examples: 4 (2 distinct entities) 2021-01-27 14:30:43 INFO rasa.shared.nlu.training_data.training_data - Found entity types: 'account_number', 'name' 2021-01-27 14:30:43 INFO rasa.nlu.model - Starting to train component SpacyNLP 2021-01-27 14:30:43 INFO rasa.nlu.model - Finished training component. 2021-01-27 14:30:43 INFO rasa.nlu.model - Starting to train component SpacyTokenizer 2021-01-27 14:30:43 INFO rasa.nlu.model - Finished training component. 2021-01-27 14:30:43 INFO rasa.nlu.model - Starting to train component SpacyFeaturizer 2021-01-27 14:30:43 INFO rasa.nlu.model - Finished training component. 2021-01-27 14:30:43 INFO rasa.nlu.model - Starting to train component RegexFeaturizer 2021-01-27 14:30:43 INFO rasa.nlu.model - Finished training component. 2021-01-27 14:30:43 INFO rasa.nlu.model - Starting to train component CRFEntityExtractor 2021-01-27 14:30:43 INFO rasa.nlu.model - Finished training component. 2021-01-27 14:30:43 INFO rasa.nlu.model - Starting to train component EntitySynonymMapper 2021-01-27 14:30:43 INFO rasa.nlu.model - Finished training component. 2021-01-27 14:30:43 INFO rasa.nlu.model - Starting to train component RegexEntityExtractor 2021-01-27 14:30:43 INFO rasa.nlu.model - Finished training component. 2021-01-27 14:30:43 INFO rasa.nlu.model - Starting to train component SklearnIntentClassifier Traceback (most recent call last): File "/root/nlp-search/bin/rasa", line 8, in sys.exit(main()) File "/root/nlp-search/lib/python3.6/site-packages/rasa/ __main__.py", line 116, in main cmdline_arguments.func(cmdline_arguments) File "/root/nlp-search/lib/python3.6/site-packages/rasa/cli/train.py", line 159, in train_nlu domain=args.domain, File "/root/nlp-search/lib/python3.6/site-packages/rasa/train.py", line 470, in train_nlu domain=domain, File "/root/nlp-search/lib/python3.6/site-packages/rasa/utils/common.py", line 308, in run_in_loop result = loop.run_until_complete(f) File "uvloop/loop.pyx", line 1456, in uvloop.loop.Loop.run_until_complete File "/root/nlp-search/lib/python3.6/site-packages/rasa/train.py", line 512, in _train_nlu_async additional_arguments=additional_arguments, File "/root/nlp-search/lib/python3.6/site-packages/rasa/train.py", line 547, in _train_nlu_with_validated_data **additional_arguments, File "/root/nlp-search/lib/python3.6/site-packages/rasa/nlu/train.py", line 114, in train interpreter = trainer.train(training_data, **kwargs) File "/root/nlp-search/lib/python3.6/site-packages/rasa/nlu/model.py", line 204, in train updates = component.train(working_data, self.config, **context) File "/root/nlp-search/lib/python3.6/site-packages/rasa/nlu/classifiers/sklearn_intent_classifier.py", line 111, in train for example in training_data.intent_examples File "/root/nlp-search/lib/python3.6/site-packages/rasa/nlu/classifiers/sklearn_intent_classifier.py", line 111, in for example in training_data.intent_examples File "/root/nlp-search/lib/python3.6/site-packages/rasa/nlu/classifiers/sklearn_intent_classifier.py", line 133, in _get_sentence_features "No sentence features present. Not able to train sklearn policy." ValueError: No sentence features present. Not able to train sklearn policy. ``` Below are the details of pipeline and config used ## Pipeline ( I do not want to use DIETClassifier) ```auto # Configuration for Rasa NLU. # https://rasa.com/docs/rasa/nlu/components/ language: en pipeline: - name: SpacyNLP model: en_core_web_sm case_sensitive: false - name: SpacyTokenizer intent_tokenization_flag: True intent_split_symbol: " " - name: SpacyFeaturizer - name: RegexFeaturizer - name: CRFEntityExtractor "features": [ ["low", "title", "upper"], [ "bias", "pattern", ], ["low", "title", "upper"], ] - name: EntitySynonymMapper - name: "RegexEntityExtractor" - name: SklearnIntentClassifier ``` ## Config ```auto version: "2.0" nlu: - regex: account_number examples: | - \d{10,12} - intent: inform examples: | - my account number is [1234567891](account_number) - This is my account number [1234567891](account_number) - intent: greet examples: | - Hey - Hi - hey there [Sara](name) - Hi [Sara](name) ``` It works fine when I replace small(en\_core\_web\_sm) with medium(en\_core\_web\_md). Any pointers on what is causing the issue. Regards, Priyanka ---
**Author:** ![mloubser](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/mloubser/32/13021_2.png) [@mloubser](https://forum.rasa.com/u/mloubser)\ **Post date:** [February 2, 2021, 7:49pm UTC](https://forum.rasa.com/t/error-while-training-rasa-with-small-english-model-en-core-web-sm-and-sklearnintentclassifier/39533/2 "2021-02-02T19:49:45Z")
> [@PriyankaLuthra](#): > > ```auto > ValueError: No sentence features present. Not able to train sklearn policy. > > ``` Sounds like a limitation of the spacy model itself. SklearnIntentClassifier is expecting sentence features, and this model does not provide them.