similarities/lsi_similarities.py

   1 import pandas as pd
   2 import fire
   3 from pathlib import Path
   4 from similarities_helper import similarities, lsi_column_similarities
   5 from functools import partial
   6
   7 def lsi_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',n_components=100,n_iter=5,random_state=1968,algorithm='arpack'):
   8     print(n_components,flush=True)
   9
  10     simfunc = partial(lsi_column_similarities,n_components=n_components,n_iter=n_iter,random_state=random_state,algorithm=algorithm)
  11
  12     return similarities(infile=infile, simfunc=simfunc, 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)
  13
  14 # change so that these take in an input as an optional argument (for speed, but also for idf).
  15 def term_lsi_similarities(outfile, min_df=None, max_df=None, included_subreddits=None, topN=500, from_date=None, to_date=None, n_components=300,n_iter=5,random_state=1968,algorithm='arpack'):
  16
  17     return lsi_similarities('/gscratch/comdata/output/reddit_similarity/tfidf/comment_terms_100k.parquet',
  18                             'term',
  19                             outfile,
  20                             min_df,
  21                             max_df,
  22                             included_subreddits,
  23                             topN,
  24                             from_date,
  25                             to_date,
  26                             n_components=n_components
  27                             )
  28
  29 def author_lsi_similarities(outfile, min_df=2, max_df=None, included_subreddits=None, topN=10000, from_date=None, to_date=None,n_components=300,n_iter=5,random_state=1968,algorithm='arpack'):
  30     return lsi_similarities('/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors_100k.parquet',
  31                             'author',
  32                             outfile,
  33                             min_df,
  34                             max_df,
  35                             included_subreddits,
  36                             topN,
  37                             from_date=from_date,
  38                             to_date=to_date,
  39                             n_components=n_components
  40                                )
  41
  42 def author_tf_similarities(outfile, min_df=2, max_df=None, included_subreddits=None, topN=10000, from_date=None, to_date=None,n_components=300,n_iter=5,random_state=1968,algorithm='arpack'):
  43     return lsi_similarities('/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors_100k.parquet',
  44                             'author',
  45                             outfile,
  46                             min_df,
  47                             max_df,
  48                             included_subreddits,
  49                             topN,
  50                             from_date=from_date,
  51                             to_date=to_date,
  52                             tfidf_colname='relative_tf',
  53                             n_components=n_components
  54                             )
  55
  56
  57 if __name__ == "__main__":
  58     fire.Fire({'term':term_lsi_similarities,
  59                'author':author_lsi_similarities,
  60                'author-tf':author_tf_similarities})
  61