similarities/cosine_similarities.py

   1 import pandas as pd
   2 import fire
   3 from pathlib import Path
   4 from similarities_helper import similarities, column_similarities
   5 from functools import partial
   6
   7 def cosine_similarities(infile, term_colname, outfile, min_df=None, max_df=None, included_subreddits=None, topN=500, from_date=None, to_date=None, tfidf_colname='tf_idf'):
   8
   9     return similarities(infile=infile, simfunc=column_similarities, term_colname=term_colname, outfile=outfile, min_df=min_df, max_df=max_df, included_subreddits=included_subreddits, topN=topN, from_date=from_date, to_date=to_date, tfidf_colname=tfidf_colname)
  10
  11 # change so that these take in an input as an optional argument (for speed, but also for idf).
  12 def term_cosine_similarities(outfile, min_df=None, max_df=None, included_subreddits=None, topN=500, exclude_phrases=False, from_date=None, to_date=None):
  13
  14     return cosine_similarities('/gscratch/comdata/output/reddit_similarity/tfidf/comment_terms_100k.parquet',
  15                                'term',
  16                                outfile,
  17                                min_df,
  18                                max_df,
  19                                included_subreddits,
  20                                topN,
  21                                from_date,
  22                                to_date
  23                                )
  24
  25 def author_cosine_similarities(outfile, min_df=2, max_df=None, included_subreddits=None, topN=10000, from_date=None, to_date=None):
  26     return cosine_similarities('/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors_100k.parquet',
  27                                'author',
  28                                outfile,
  29                                min_df,
  30                                max_df,
  31                                included_subreddits,
  32                                topN,
  33                                from_date=from_date,
  34                                to_date=to_date
  35                                )
  36
  37 def author_tf_similarities(outfile, min_df=2, max_df=None, included_subreddits=None, topN=10000, from_date=None, to_date=None):
  38     return cosine_similarities('/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors_100k.parquet',
  39                                'author',
  40                                outfile,
  41                                min_df,
  42                                max_df,
  43                                included_subreddits,
  44                                topN,
  45                                from_date=from_date,
  46                                to_date=to_date,
  47                                tfidf_colname='relative_tf'
  48                                )
  49
  50
  51 if __name__ == "__main__":
  52     fire.Fire({'term':term_cosine_similarities,
  53                'author':author_cosine_similarities,
  54                'author-tf':author_tf_similarities})
  55