TST: Added test for fpreproc
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@ -36,4 +36,13 @@ def test_custom_objective():
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err = sum(1 for i in range(len(preds)) if int(preds[i]>0.5)!=labels[i]) / float(len(preds))
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assert err < 0.1
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def test_fpreproc():
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param = {'max_depth':2, 'eta':1, 'silent':1, 'objective':'binary:logistic'}
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num_round = 2
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def fpreproc(dtrain, dtest, param):
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label = dtrain.get_label()
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ratio = float(np.sum(label == 0)) / np.sum(label==1)
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param['scale_pos_weight'] = ratio
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return (dtrain, dtest, param)
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xgb.cv(param, dtrain, num_round, nfold=5,
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metrics={'auc'}, seed = 0, fpreproc = fpreproc)
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