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KeyError: 'ner_crf' in evaluate.py during crossvalidation

See original GitHub issue

Hello,

Operating system (windows, osx, …): windows 10

Content of model configuration file:

language: "en"

pipeline:
- name: "tokenizer_whitespace"
- name: "ner_crf"
- name: "intent_featurizer_count_vectors"
- name: "intent_classifier_tensorflow_embedding"
intent_tokenization_flag: true
intent_split_symbol: "_"

Issue: I am trying to evaluate model by running command:

python -m rasa_nlu.evaluate --data data/nlu_data.json --config nlu_config.yml --mode crossvalidation --folds 5

However, I got issue:

Traceback (most recent call last):
 File "C:\ProgramData\Anaconda3\lib\runpy.py", line 193, in _run_module_as_main
 "__main__", mod_spec)
 File "C:\ProgramData\Anaconda3\lib\runpy.py", line 85, in _run_code
 exec(code, run_globals)
 File "C:\ProgramData\Anaconda3\lib\site-packages\rasa_nlu\evaluate.py", line 857,
in <module>
 main()
 File "C:\ProgramData\Anaconda3\lib\site-packages\rasa_nlu\evaluate.py", line 834,
in main
 data, int(cmdline_args.folds), nlu_config)
 File "C:\ProgramData\Anaconda3\lib\site-packages\rasa_nlu\evaluate.py", line 720,
in run_cv_evaluation
 interpreter, train)
 File "C:\ProgramData\Anaconda3\lib\site-packages\rasa_nlu\evaluate.py", line 684,
in combine_entity_result
 current_result = compute_entity_metrics(interpreter, data)
 File "C:\ProgramData\Anaconda3\lib\site-packages\rasa_nlu\evaluate.py", line 777,
in compute_entity_metrics
 merged_predictions = merge_labels(aligned_predictions, extractor)
 File "C:\ProgramData\Anaconda3\lib\site-packages\rasa_nlu\evaluate.py", line 307,
in merge_labels
 for ap in aligned_predictions]
 File "C:\ProgramData\Anaconda3\lib\site-packages\rasa_nlu\evaluate.py", line 307,
in <listcomp>
 for ap in aligned_predictions]
KeyError: 'ner_crf'