X-Git-Url: https://code.communitydata.science/cdsc_reddit.git/blobdiff_plain/628a70734b19c25da5df2e0c9ed4f1616c2b5c10..7df8436067dba9a9e6867424002d01593e4bcd25:/similarities/cosine_similarities.py?ds=sidebyside

diff --git a/similarities/cosine_similarities.py b/similarities/cosine_similarities.py
index 38b1d7c..0c9c986 100644
--- a/similarities/cosine_similarities.py
+++ b/similarities/cosine_similarities.py
@@ -2,12 +2,13 @@ import pandas as pd
 import fire
 from pathlib import Path
 from similarities_helper import similarities, column_similarities
+from functools import partial
 
 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'):
 
     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)
 
-
+# change so that these take in an input as an optional argument (for speed, but also for idf).
 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):
 
     return cosine_similarities('/gscratch/comdata/output/reddit_similarity/tfidf/comment_terms_100k.parquet',