--- a
+++ b/examples/autoTuning_example.py
@@ -0,0 +1,25 @@
+"""
+@Author: Pinar Demetci, Rebecca Santorella 2020
+SCOT hyperparameter tuning example script
+"""
+
+import sys
+# We change the working directory because this is where the source code we want to import exists.
+# This is not needed if you put the source code (scot.py) in the same directory as your scripts. 
+sys.path.insert(1, '../src/')
+from scot import *
+import evals
+
+### Read and normalize the data:
+X=np.load("../data/scatac_feat.npy")
+y=np.load("../data/scrna_feat.npy")
+
+# initialize SCOT object
+scot=SCOT(X, y)
+
+# perform unsupervised hyperparameter search
+X_aligned, y_aligned = scot.align(selfTune=True)
+# Hyperparameter combinations picked automatically prints after the unsupervised sweep 
+
+FOSCTTM_unsupervised=np.mean(evals.calc_domainAveraged_FOSCTTM(X_aligned, y_aligned))
+print("The average FOSCTTM measure for the unsupervised alignment is: ", FOSCTTM_unsupervised)
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