increase learning rate.

diff --git a/fit_tsne.py b/fit_tsne.py
index 06e949a925bd7b585d33fd9db0adabc108e48f7a..7de2ac015f7960a5a37dfa7b5d54fcb6d1ebaae6 100644 (file)
--- a/fit_tsne.py
+++ b/fit_tsne.py
@@ -24,7 +24,7 @@ mat = np.stack(mat)
 mat = mat + np.tril(mat.transpose(),k=-1)
 dist = 2*np.arccos(mat)/np.pi
 
-tsne_model = TSNE(2,learning_rate=500,perplexity=50,n_iter=10000,metric='precomputed',early_exaggeration=20,n_jobs=-1)
+tsne_model = TSNE(2,learning_rate=750,perplexity=50,n_iter=10000,metric='precomputed',early_exaggeration=20,n_jobs=-1)
 
 tsne_fit_model = tsne_model.fit(dist)
 

diff --git a/tsne_subreddit_fit.feather b/tsne_subreddit_fit.feather
index e34e9716410199023b2d67d52413248466846884..3416d48466297c1a45d8faf50a39f4cb9b0c15fe 100644 (file)
--- a/tsne_subreddit_fit.feather
+++ b/tsne_subreddit_fit.feather
@@ -1 +1 @@
-/annex/objects/SHA256E-s60874--4229a568aa0abe9b0ac6be4c5c7c0231ca49cbbde9bc748347013bb8b2535dd9
+/annex/objects/SHA256E-s60874--224e59dc1946a1feea1667420f758a91bc313b57843963bf79a4618bed9ddde3