update regression

demo/binary_classification/mushroom.conf

@@ -1,17 +1,27 @@
-# General Parameters
-booster_type = 0
-loss_type = 2
+# General Parameters, see comment for each definition
+# choose the tree booster, 0: tree, 1: linear
+booster_type = 0 
+# choose logistic regression loss function for binary classification
+loss_type = 2 
 
 # Tree Booster Parameters
-bst:tree_maker=2
-bst:eta=1.0
-bst:gamma=1.0
-bst:min_child_weight=1   
-bst:max_depth=3           
+# step size shrinkage
+bst:eta = 1.0 
+# minimum loss reduction required to make a further partition
+bst:gamma = 1.0 
+# minimum sum of instance weight(hessian) needed in a child
+bst:min_child_weight = 1 
+# maximum depth of a tree
+bst:max_depth = 3 
 
-# Binary Classification Parameters
-num_round=2
-save_period=0
-data = "agaricus.txt.train"
-eval[test] = "agaricus.txt.test"
-test:data =  "agaricus.txt.test"
+# Task Parameters
+# the number of round to do boosting
+num_round = 2
+# 0 means do not save any model except the final round model
+save_period = 0 
+# The path of training data
+data = "agaricus.txt.train" 
+# The path of validation data, used to monitor training process, here [test] sets name of the validation set
+eval[test] = "agaricus.txt.test" 
+# The path of test data 
+test:data = "agaricus.txt.test"