remove dependency on bst

demo/binary_classification/mushroom.conf

@@ -6,13 +6,13 @@ objective = binary:logistic
 
 # Tree Booster Parameters
 # step size shrinkage
-bst:eta = 1.0 
+eta = 1.0 
 # minimum loss reduction required to make a further partition
-bst:gamma = 1.0 
+gamma = 1.0 
 # minimum sum of instance weight(hessian) needed in a child
-bst:min_child_weight = 1 
+min_child_weight = 1 
 # maximum depth of a tree
-bst:max_depth = 3 
+max_depth = 3 
 
 # Task Parameters
 # the number of round to do boosting

demo/kaggle-higgs/higgs-numpy.py

@@ -42,8 +42,8 @@ param = {}
 param['objective'] = 'binary:logitraw'
 # scale weight of positive examples
 param['scale_pos_weight'] = sum_wneg/sum_wpos
-param['bst:eta'] = 0.1 
-param['bst:max_depth'] = 6
+param['eta'] = 0.1 
+param['max_depth'] = 6
 param['eval_metric'] = 'auc'
 param['silent'] = 1
 param['nthread'] = 16

demo/multiclass_classification/train.py

@@ -25,8 +25,8 @@ param = {}
 # use softmax multi-class classification
 param['objective'] = 'multi:softmax'
 # scale weight of positive examples
-param['bst:eta'] = 0.1
-param['bst:max_depth'] = 6
+param['eta'] = 0.1
+param['max_depth'] = 6
 param['silent'] = 1
 param['nthread'] = 4
 param['num_class'] = 6

demo/rank/mq2008.conf

@@ -5,13 +5,13 @@ objective="rank:pairwise"
 
 # Tree Booster Parameters
 # step size shrinkage
-bst:eta = 0.1 
+eta = 0.1 
 # minimum loss reduction required to make a further partition
-bst:gamma = 1.0 
+gamma = 1.0 
 # minimum sum of instance weight(hessian) needed in a child
-bst:min_child_weight = 0.1
+min_child_weight = 0.1
 # maximum depth of a tree
-bst:max_depth = 6
+max_depth = 6
 
 # Task parameters
 # the number of round to do boosting

demo/regression/machine.conf

@@ -7,13 +7,13 @@ objective = reg:linear
 
 # Tree Booster Parameters
 # step size shrinkage
-bst:eta = 1.0 
+eta = 1.0 
 # minimum loss reduction required to make a further partition
-bst:gamma = 1.0 
+gamma = 1.0 
 # minimum sum of instance weight(hessian) needed in a child
-bst:min_child_weight = 1 
+min_child_weight = 1 
 # maximum depth of a tree
-bst:max_depth = 3 
+max_depth = 3 
 
 # Task parameters
 # the number of round to do boosting