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[WIP] ProduceNgrams #247
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[WIP] ProduceNgrams #247
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| pipe = Pipeline([ | ||
| CharTokenizer(columns={'SentimentText_Transform': 'SentimentText'}), | ||
| NGramExtractor(ngram_length=1, all_lengths=False, columns={'Ngrams': 'SentimentText_Transform'}), | ||
| ColumnDropper(columns=['SentimentText_Transform', 'SentimentText', 'Sentiment']) |
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I think I'm missing something here. How does Sentiment get dropped, then printed below? Are we looking to teach users to explicitly drop no longer needed cols like SentimentText?
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duplicate of #320 |
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fixes #245
Requires next version of ML.NET 1.4