Use Latent semantic indexing and hdbscan

[cdsc_reddit.git] / similarities / tfidf.py

diff --git a/similarities/tfidf.py b/similarities/tfidf.py
index 30033a829dc1e563b1267f817d92378414f0c9d1..002e89f785b37fd9df3c903775ab6f71846909d4 100644 (file)
--- a/similarities/tfidf.py
+++ b/similarities/tfidf.py
@@ -15,10 +15,9 @@ def _tfidf_wrapper(func, inpath, outpath, topN, term_colname, exclude, included_
     else:
         include_subs = select_topN_subreddits(topN)
 
     else:
         include_subs = select_topN_subreddits(topN)
 

-    df = func(df, include_subs, term_colname)
-
-    df.write.parquet(outpath,mode='overwrite',compression='snappy')
+    dfwriter = func(df, include_subs, term_colname)

 
 

+    dfwriter.parquet(outpath,mode='overwrite',compression='snappy')

     spark.stop()
 
 def tfidf(inpath, outpath, topN, term_colname, exclude, included_subreddits):
     spark.stop()
 
 def tfidf(inpath, outpath, topN, term_colname, exclude, included_subreddits):