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Fixed directory creation #5

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Fixed directory creation #5

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8 changes: 4 additions & 4 deletions dcsim/classification.py
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Original file line number Diff line number Diff line change
Expand Up @@ -310,11 +310,11 @@ def train_10_fold_balanced():
avg_recall = 0.
avg_precision = 0.
avg_f1_score = 0.
fout = open('result/10_fold_balanced.txt', 'w')
if os.path.exists('result') is not True:
os.mkdir("result")
if os.path.exists("10_fold_balanced") is not True:
os.mkdir("10_fold_balanced")
fout = open('result/10_fold_balanced.txt', 'w')
for train_idx, test_idx in skf.split(X, y):
print ('*' * 40 + str(fold_index) + '*' * 40)
fold_path = os.path.join("10_fold_balanced", str(fold_index))
Expand Down Expand Up @@ -513,7 +513,7 @@ def predict_on_full_dataset():
file_path = "../dataset/g4_128.npy"
dataset = np.load(open(file_path, 'r'))
X, y = np.array(dataset['X']), np.array(dataset['y'], dtype=np.int)

t_beg = time.clock()
saver = tf.train.Saver()
sess = tf.InteractiveSession()
Expand Down Expand Up @@ -546,7 +546,7 @@ def predict_on_full_dataset():
test_X_left = np.array(test_X_left)
test_X_right = np.array(test_X_right)
test_Y = np.array(test_Y, dtype=np.float32)


overall_predict_Y = []
for start, end in zip(range(0, np.shape(test_X_left)[0], batch_size),
Expand All @@ -567,4 +567,4 @@ def predict_on_full_dataset():
train_10_fold_balanced()
st = time.time()
predict_on_full_dataset()
print "Predict time on the full dataset: ", time.time() - st
print "Predict time on the full dataset: ", time.time() - st