alrite
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@ -5,7 +5,6 @@ import numpy as np
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# add path of xgboost python module
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sys.path.append('../../wrapper/')
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import xgboost as xgb
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from sklearn.ensemble import GradientBoostingClassifier
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import time
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test_size = 550000
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@ -38,29 +37,30 @@ param['objective'] = 'binary:logitraw'
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param['scale_pos_weight'] = sum_wneg/sum_wpos
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param['bst:eta'] = 0.1
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param['bst:max_depth'] = 6
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param['eval_metric'] = 'auc'
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#param['eval_metric'] = 'auc'
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param['silent'] = 1
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param['updater'] = sys.argv[1]
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param['nthread'] = 4
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plst = param.items()+[('eval_metric', 'ams@0.15')]
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#plst = param.items()+[('eval_metric', 'ams@0.15')]
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watchlist = [ (xgmat,'train') ]
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# boost 10 tres
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num_round = 10
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print ('loading data end, start to boost trees')
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print ("training GBM from sklearn")
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tmp = time.time()
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gbm = GradientBoostingClassifier(n_estimators=num_round, max_depth=6, verbose=2)
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gbm.fit(data, label)
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print ("sklearn.GBM costs: %s seconds" % str(time.time() - tmp))
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#tmp = time.time()
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#gbm = GradientBoostingClassifier(n_estimators=num_round, max_depth=6, verbose=2)
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#gbm.fit(data, label)
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#print ("sklearn.GBM costs: %s seconds" % str(time.time() - tmp))
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#raw_input()
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print ("training xgboost")
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threads = [1, 2, 4, 16]
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for i in threads:
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param['nthread'] = i
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tmp = time.time()
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plst = param.items()+[('eval_metric', 'ams@0.15')]
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bst = xgb.train( plst, xgmat, num_round, watchlist );
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#plst = param.items()+[('eval_metric', 'ams@0.15')]
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bst = xgb.train( param, xgmat, num_round, watchlist );
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print ("XGBoost with %d thread costs: %s seconds" % (i, str(time.time() - tmp)))
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print ('finish training')
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@ -466,7 +466,7 @@ class QuantileHistMaker: public HistMaker<TStats> {
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if (a.size != 0) {
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bst_float cpt = a.data[a.size - 1].value;
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// this must be bigger than last value in a scale
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bst_float last = cpt + fabs(cpt);
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bst_float last = cpt + fabs(cpt) + rt_eps;
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this->wspace.cut.push_back(last);
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}
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this->wspace.rptr.push_back(this->wspace.cut.size());
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