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'):
+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'):
- 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)
+ 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)
# 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):
max_df,
included_subreddits,
topN,
- exclude_phrases,
from_date,
to_date
)
max_df,
included_subreddits,
topN,
- exclude_phrases=False,
from_date=from_date,
to_date=to_date
)
max_df,
included_subreddits,
topN,
- exclude_phrases=False,
from_date=from_date,
to_date=to_date,
tfidf_colname='relative_tf'