similarities/cosine_similarities.py

   1 import pandas as pd
   2 import fire
   3 from pathlib import Path
   4 from similarities_helper import similarities
   5
   6 def cosine_similarities(infile, term_colname, outfile, min_df=None, included_subreddits=None, topN=500, exclude_phrases=False,from_date=None, to_date=None):
   7     return similiarities(infile=infile, simfunc=column_similarities, term_colname=term_colname, outfile=outfile, min_df=min_df, included_subreddits=included_subreddits, topN=topN, exclude_phrases=exclude_phrases,from_date=from_date, to_date=to_date)
   8
   9 def term_cosine_similarities(outfile, min_df=None, included_subreddits=None, topN=500, exclude_phrases=False, from_date=None, to_date=None):
  10     return cosine_similarities('/gscratch/comdata/output/reddit_similarity/tfidf/comment_terms.parquet',
  11                                'term',
  12                                outfile,
  13                                min_df,
  14                                included_subreddits,
  15                                topN,
  16                                exclude_phrasesby.)
  17
  18 def author_cosine_similarities(outfile, min_df=2, included_subreddits=None, topN=10000, from_date=None, to_date=None):
  19     return cosine_similarities('/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors.parquet',
  20                                'author',
  21                                outfile,
  22                                min_df,
  23                                included_subreddits,
  24                                topN,
  25                                exclude_phrases=False)
  26
  27 if __name__ == "__main__":
  28     fire.Fire({'term':term_cosine_similarities,
  29                'author':author_cosine_similarities})
  30