IndexError: tuple index out of range

[erotavlas]

I keep getting this error and I don't know how to solve it, as far as I know my data is in the correct format, single columns for both x and y

      File "D:\Anaconda\envs\py3.6\lib\site-packages\xgboost-1.0.0_snapshot-py3.6.egg\xgboost\sklearn.py", line 680, in fit
        self._features_count = X.shape[1]
    
    IndexError: tuple index out of range

Code to reproduce this is as follows (run on Windows 10 x64 machine, XGBoost installed to Anaconda env)

    import numpy as np
    from sklearn.datasets import fetch_20newsgroups
    twenty_train = fetch_20newsgroups(subset='train', shuffle=True)
    
    import os
    mingw_path = 'C:\\Program Files\\mingw-w64\\x86_64-8.1.0-posix-seh-rt_v6-rev0\\mingw64\\bin'
    os.environ['PATH'] = mingw_path + ';' + os.environ['PATH']
    
    import xgboost as xgb
    from xgboost import XGBClassifier
    
    from sklearn.model_selection import train_test_split
    
    x_train, x_test, y_train, y_test = train_test_split(np.array(twenty_train.data), np.array(twenty_train.target), test_size=0.2, random_state=1)
    model = XGBClassifier()
    model.fit(x_train, y_train)

[trivialfis]

Seems feature name is not prepared for 1d data. Will fix it.