entirely supervised

newsearch.py

@@ -26,10 +26,11 @@ NUM_JOBS = 100
 learning_rate_values = [1e-3]
 # learning_rate_values = [5e-4]
 
-alpha_values = [0, .25, 0.5, 0.75, 1]  # alpha = 0 is unsupervised. alpha = 1 is supervised.
+# alpha_values = [0, .25, 0.5, 0.75, 1]  # alpha = 0 is unsupervised. alpha = 1 is supervised.
-widths = [2**k for k in range(4, 13)]
+alpha_values = [1.0]
-depths = [1, 2, 4, 8, 16]
+# widths = [2**k for k in range(4, 13)]
-# widths, depths = [128, 256], [4, 8]
+# depths = [1, 2, 4, 8, 16]
+widths, depths = [64, 128, 256], [4, 8]
 
 batch_size_values = [256]
 max_epochs_values = [10]