2c1a439869
* Remove GPU memory usage demo. * Add tests for demos. * Remove `silent`. * Remove shebang as it's not portable.
22 lines
849 B
Python
22 lines
849 B
Python
import os
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import numpy as np
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import xgboost as xgb
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# load data in do training
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CURRENT_DIR = os.path.dirname(__file__)
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dtrain = xgb.DMatrix(os.path.join(CURRENT_DIR, '../data/agaricus.txt.train'))
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dtest = xgb.DMatrix(os.path.join(CURRENT_DIR, '../data/agaricus.txt.test'))
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param = {'max_depth': 2, 'eta': 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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