Change default value.

deploy/demo_server.py

@@ -23,9 +23,9 @@ add_arg('beam_size',        int,    500,    "Beam search width.")
 add_arg('num_conv_layers',  int,    2,      "# of convolution layers.")
 add_arg('num_rnn_layers',   int,    3,      "# of recurrent layers.")
 add_arg('rnn_layer_size',   int,    2048,   "# of recurrent cells per layer.")
-add_arg('alpha',            float,  0.36,   "Coef of LM for beam search.")
-add_arg('beta',             float,  0.25,   "Coef of WC for beam search.")
-add_arg('cutoff_prob',      float,  0.99,   "Cutoff probability for pruning.")
+add_arg('alpha',            float,  2.15,   "Coef of LM for beam search.")
+add_arg('beta',             float,  0.35,   "Coef of WC for beam search.")
+add_arg('cutoff_prob',      float,  1.0,    "Cutoff probability for pruning.")
 add_arg('cutoff_top_n',     int,    40,     "Cutoff number for pruning.")
 add_arg('use_gru',          bool,   False,  "Use GRUs instead of simple RNNs.")
 add_arg('use_gpu',          bool,   True,   "Use GPU or not.")