From b0da2de0eab5e14e887464886518c2fe284aa79a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ren=C3=A9=20Knaebel?= <rknaebel@uni-potsdam.de>
Date: Sat, 29 Jul 2017 19:47:02 +0200
Subject: [PATCH] move utils functions to new file

---
 dataset.py |  3 +--
 main.py    | 18 +++++++-----------
 utils.py   |  6 ++++++
 3 files changed, 14 insertions(+), 13 deletions(-)
 create mode 100644 utils.py

diff --git a/dataset.py b/dataset.py
index 2b28aab..ec6a0d4 100644
--- a/dataset.py
+++ b/dataset.py
@@ -29,7 +29,7 @@ def encode_char(c):
 encode_char = np.vectorize(encode_char)
 
 
-# TODO: refactor
+# TODO: ask for correct refactoring
 def get_user_chunks(user_flow, window=10):
     # TODO: what is maxLengthInSeconds for?!?
     # maxMilliSeconds = maxLengthInSeconds * 1000
@@ -149,7 +149,6 @@ def create_dataset_from_lists(chunks, vocab, max_len):
     :param max_len: 
     :return: 
     """
-
     def get_domain_features_reduced(d):
         return get_domain_features(d[0], vocab, max_len)
 
diff --git a/main.py b/main.py
index bb251e4..278b1ff 100644
--- a/main.py
+++ b/main.py
@@ -17,6 +17,7 @@ import models
 # create logger
 import visualize
 from dataset import load_or_generate_h5data
+from utils import exists_or_make_path
 
 logger = logging.getLogger('logger')
 logger.setLevel(logging.DEBUG)
@@ -55,11 +56,6 @@ if args.gpu:
     session = tf.Session(config=config)
 
 
-def exists_or_make_path(p):
-    if not os.path.exists(p):
-        os.makedirs(p)
-
-
 def main_paul_best():
     char_dict = dataset.get_character_dict()
     pauls_best_params = models.pauls_networks.best_config
@@ -80,15 +76,15 @@ def main_hyperband():
         "flow_features": [3],
         "input_length": [40],
         # model params
-        "embedding_size": [16, 32, 64, 128, 256, 512],
-        "filter_embedding": [16, 32, 64, 128, 256, 512],
+        "embedding_size": [8, 16, 32, 64, 128, 256],
+        "filter_embedding": [8, 16, 32, 64, 128, 256],
         "kernel_embedding": [1, 3, 5, 7, 9],
-        "hidden_embedding": [16, 32, 64, 128, 256, 512],
+        "hidden_embedding": [8, 16, 32, 64, 128, 256],
         "dropout": [0.5],
-        "domain_features": [16, 32, 64, 128, 256, 512],
-        "filter_main": [16, 32, 64, 128, 256, 512],
+        "domain_features": [8, 16, 32, 64, 128, 256],
+        "filter_main": [8, 16, 32, 64, 128, 256],
         "kernels_main": [1, 3, 5, 7, 9],
-        "dense_main": [16, 32, 64, 128, 256, 512],
+        "dense_main": [8, 16, 32, 64, 128, 256],
     }
 
     logger.info("create training dataset")
diff --git a/utils.py b/utils.py
new file mode 100644
index 0000000..fb9b783
--- /dev/null
+++ b/utils.py
@@ -0,0 +1,6 @@
+import os
+
+
+def exists_or_make_path(p):
+    if not os.path.exists(p):
+        os.makedirs(p)