demo

demo/multi_classification/train.py

@@ -1,4 +1,4 @@
-
+#! /usr/bin/python
 import sys
 import numpy as np
 sys.path.append('../../python/')
@@ -29,7 +29,6 @@ param['objective'] = 'multi:softmax'
 # scale weight of positive examples
 param['bst:eta'] = 0.1
 param['bst:max_depth'] = 6
-param['eval_metric'] = 'auc'
 param['silent'] = 1
 param['nthread'] = 4
 param['num_class'] = 5