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handle the following issue
automl#1373 (comment) this commit fixes the first 3 bullet points on the to do list. 1. rename hyperparameter "ngram_range" --> "ngram_upper_bound" this includes changing all *csv and *json files 2. Create a new textpreprocessing example_text_preprocessing.py, this new example features the 20Newsgroups dataset import in example_text_preprocessing.py to long, but i can not come up with a good solution include feedback from 02.24.
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examples/40_advanced/example_text_preprocessing.py

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# View the models found by auto-sklearn
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# =====================================
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print(automl.leaderboard())
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# print(automl.leaderboard())
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############################################################################
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# Print the final ensemble constructed by auto-sklearn
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# ====================================================
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pprint(automl.show_models(), indent=4)
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# pprint(automl.show_models(), indent=4)
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###########################################################################
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# Get the Score of the final ensemble

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