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major performance improvement in creating TFIDF canopies
+ 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
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