@rahulbakshee wrote:

HI Experts,

I am getting error while getting cv score in xgboost python implementation.
This is what i followed:

import

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline

train = pd.read_csv("/.....train_u6lujuX_CVtuZ9i.csv")

param

param = {'eta': 1,
'eval_metric': 'auc',
'max_depth': 2,
'nthread': 4,
'objective': 'binary:logistic',
'silent': 1}

DMatrix

train_dmatrix = xgb.DMatrix(train["ApplicantIncome"])

cv

xgb.cv(params=param, dtrain=train_dmatrix, seed=21)

I get error as below:

---

XGBoostError Traceback (most recent call last)
in ()
----> 1 c = xgb.cv(params=param, dtrain=train_dmatrix, seed=21)

/home/rahul/anaconda3/lib/python3.6/site-packages/xgboost/training.py in cv(params, dtrain, num_boost_round, nfold, stratified, folds, metrics, obj, feval, maximize, early_stopping_rounds, fpreproc, as_pandas, verbose_eval, show_stdv, seed, callbacks)
398 evaluation_result_list=None))
399 for fold in cvfolds:
--> 400 fold.update(i, obj)
401 res = aggcv([f.eval(i, feval) for f in cvfolds])
402

/home/rahul/anaconda3/lib/python3.6/site-packages/xgboost/training.py in update(self, iteration, fobj)
217 def update(self, iteration, fobj):
218 """"Update the boosters for one iteration"""
--> 219 self.bst.update(self.dtrain, iteration, fobj)
220
221 def eval(self, iteration, feval):

/home/rahul/anaconda3/lib/python3.6/site-packages/xgboost/core.py in update(self, dtrain, iteration, fobj)
804
805 if fobj is None:
--> 806 checkcall(_LIB.XGBoosterUpdateOneIter(self.handle, iteration, dtrain.handle))
807 else:
808 pred = self.predict(dtrain)

/home/rahul/anaconda3/lib/python3.6/site-packages/xgboost/core.py in checkcall(ret)
125 """
126 if ret != 0:
--> 127 raise XGBoostError(_LIB.XGBGetLastError())
128
129

XGBoostError: b'[20:20:23] src/objective/regression_obj.cc:89: Check failed: (info.labels.size()) != (0) label set cannot be empty'

Can anyone help me why I am getting this error.
Am I missing something?

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