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+ storing idf and occurrences in memory (inverted_index dict)
+ storing raw tokens for corpus in token_vector
+ removed select_function from createCanopies (reading this info from memory now)
+ ignoring high occurrence stop words in TFIDF canopy creation - resolves#59
+ creating canopies for 100,000 records in ~300 seconds
+ storing idf and occurrences in memory (inverted_index dict)
+ storing raw tokens for corpus in token_vector
+ removed select_function from createCanopies (reading this info from memory now)
+ ignoring high occurrence stop words in TFIDF canopy creation - resolves#59
+ creating canopies for 100,000 records in ~300 seconds
for tokens that appear more than x% of the total number of tokens, ignore them when creating TFIDF canopies.
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