I just update for the 2.2.4 version of Rasa and I’m getting the following error when training a model: 2021-01-12 13:39:31 WARNING rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer - Unable to train CountVectorizer for message attribute text since the call to sklearn’s .fit() method failed. Leaving an untrained CountVectorizer for it. Traceback (most recent call last): File “/usr/local/bin/rasa”, line 8, in sys.exit(main()) File “/usr/local/lib/python3.6/dist-packages/rasa/main.py”, line 116, in main cmdline_arguments.func(cmdline_arguments) File “/usr/local/lib/python3.6/dist-packages/rasa/cli/train.py”, line 205, in train_nlu finetuning_epoch_fraction=args.epoch_fraction, File “/usr/local/lib/python3.6/dist-packages/rasa/train.py”, line 711, in train_nlu finetuning_epoch_fraction=finetuning_epoch_fraction, File “/usr/local/lib/python3.6/dist-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 “/usr/local/lib/python3.6/dist-packages/rasa/train.py”, line 757, in _train_nlu_async finetuning_epoch_fraction=finetuning_epoch_fraction, File “/usr/local/lib/python3.6/dist-packages/rasa/train.py”, line 818, in _train_nlu_with_validated_data **additional_arguments, File “/usr/local/lib/python3.6/dist-packages/rasa/nlu/train.py”, line 116, in train interpreter = trainer.train(training_data, **kwargs) File “/usr/local/lib/python3.6/dist-packages/rasa/nlu/model.py”, line 209, in train updates = component.train(working_data, self.config, **context) File “/usr/local/lib/python3.6/dist-packages/rasa/nlu/featurizers/sparse_featurizer/count_vectors_featurizer.py”, line 728, in train self._train_with_independent_vocab(attribute_texts) File “/usr/local/lib/python3.6/dist-packages/rasa/nlu/featurizers/sparse_featurizer/count_vectors_featurizer.py”, line 542, in _train_with_independent_vocab attribute, attribute_texts[attribute] File “/usr/local/lib/python3.6/dist-packages/rasa/nlu/featurizers/sparse_featurizer/count_vectors_featurizer.py”, line 608, in _fit_vectorizer_from_scratch self._add_buffer_to_vocabulary(attribute) File “/usr/local/lib/python3.6/dist-packages/rasa/nlu/featurizers/sparse_featurizer/count_vectors_featurizer.py”, line 447, in add_buffer_to_vocabulary original_vocabulary = self.vectorizers[attribute].vocabulary AttributeError: ‘CountVectorizer’ object has no attribute ‘vocabulary_’ The config.yml I’m using is the following: language: “pt” # your two-letter language code pipeline: name: WhitespaceTokenizer name: RegexFeaturizer name: LexicalSyntacticFeaturizer name: CountVectorsFeaturizer use_lemma: False strip_accents: True name: CountVectorsFeaturizer analyzer: “char_wb” min_ngram: 1 max_ngram: 5 use_lemma: False name: DIETClassifier epochs: 100 regularization_constant: 0.005 learning_rate: 0.0001 batch_strategy: “sequence” Can someone help me with this problem? I couldn’t figure it out an…

Error when using CountVectorFeaturizer (Rasa Open Source 2.2.4)

rctatman (Rachael Tatman ) January 15, 2021, 9:56pm 5

I’ve been digging around and I can’t find any other reports of it… would you mind filing a GitHub issue? https://github.com/RasaHQ/rasa/issues/new/choose

Topic		Replies	Views
CountVectorizer warnings Rasa Open Source	5	1191	April 3, 2020
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