X-Git-Url: https://code.communitydata.science/cdsc_reddit.git/blobdiff_plain/01a4c353588ab1a28f36980157daa5e682ea9edc..36b24ee933b95424686cfeaa2b2bd9776f23f853:/clustering/clustering.py?ds=sidebyside

diff --git a/clustering/clustering.py b/clustering/clustering.py
index cac5730..153a5c9 100755
--- a/clustering/clustering.py
+++ b/clustering/clustering.py
@@ -24,7 +24,7 @@ def _affinity_clustering(mat, subreddits, output, damping=0.9, max_iter=100000,
     preference_quantile: parameter controlling how many clusters to make. higher values = more clusters. 0.85 is a good value with 3000 subreddits.
     damping: parameter controlling how iterations are merged. Higher values make convergence faster and more dependable. 0.85 is a good value for the 10000 subreddits by author. 
     '''
-    print(f"damping:{damping}; convergenceIter:{convergence_iter}; preferenceQuantile:{preference_quantilne}")
+    print(f"damping:{damping}; convergenceIter:{convergence_iter}; preferenceQuantile:{preference_quantile}")
 
     preference = np.quantile(mat,preference_quantile)