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, exclude_phrases=False, 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, exclude_phrases=exclude_phrases,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 def term_cosine_similarities(outfile, infile='/gscratch/comdata/output/reddit_similarity/tfidf/comment_terms_100k.parquet', min_df=None, max_df=None, included_subreddits=None, topN=500, exclude_phrases=False, from_date=None, to_date=None):
  15
  16     return cosine_similarities(infile,
  17                                'term',
  18                                outfile,
  19                                min_df,
  20                                max_df,
  21                                included_subreddits,
  22                                topN,
  23                                exclude_phrases,
  24                                from_date,
  25                                to_date
  26                                )
  27
  28 def author_cosine_similarities(outfile, infile='/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors_100k.parquet', min_df=2, max_df=None, included_subreddits=None, topN=10000, from_date=None, to_date=None):
  29     return cosine_similarities(infile,
  30                                'author',
  31                                outfile,
  32                                min_df,
  33                                max_df,
  34                                included_subreddits,
  35                                topN,
  36                                exclude_phrases=False,
  37                                from_date=from_date,
  38                                to_date=to_date
  39                                )
  40
  41 def author_tf_similarities(outfile, infile='/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors_100k.parquet', min_df=2, max_df=None, included_subreddits=None, topN=10000, from_date=None, to_date=None):
  42     return cosine_similarities(infile,
  43                                'author',
  44                                outfile,
  45                                min_df,
  46                                max_df,
  47                                included_subreddits,
  48                                topN,
  49                                exclude_phrases=False,
  50                                from_date=from_date,
  51                                to_date=to_date,
  52                                tfidf_colname='relative_tf'
  53                                )
  54
  55
  56 if __name__ == "__main__":
  57     fire.Fire({'term':term_cosine_similarities,
  58                'author':author_cosine_similarities,
  59                'author-tf':author_tf_similarities})
  60