23 lines
813 B
Python
Executable File
23 lines
813 B
Python
Executable File
#!/usr/bin/python
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import sys
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import numpy as np
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sys.path.append('../../wrapper')
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import xgboost as xgb
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### load data in do training
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dtrain = xgb.DMatrix('../data/agaricus.txt.train')
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dtest = xgb.DMatrix('../data/agaricus.txt.test')
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param = {'max_depth':2, 'eta':1, 'silent':1, 'objective':'binary:logistic' }
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watchlist = [(dtest,'eval'), (dtrain,'train')]
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num_round = 3
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bst = xgb.train(param, dtrain, num_round, watchlist)
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print ('start testing prediction from first n trees')
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### predict using first 1 tree
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label = dtest.get_label()
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ypred1 = bst.predict(dtest, ntree_limit=1)
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# by default, we predict using all the trees
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ypred2 = bst.predict(dtest)
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print ('error of ypred1=%f' % (np.sum((ypred1>0.5)!=label) /float(len(label))))
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print ('error of ypred2=%f' % (np.sum((ypred2>0.5)!=label) /float(len(label))))
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