尝试拟合模型XgBoost时元组索引超出范围

Question

我正在尝试在单词向量上训练模型xgboost。当我这样做

model = xgb.XGBClassifier()
model.fit(X_train["comment_preproc"], y_train["label"])
y_predict = model.predict(X_test["comment_preproc"])

我收到错误

IndexError                                Traceback (most recent call last)
<ipython-input-26-870161aebeee> in <module>()
      1 model = xgb.XGBClassifier()
----> 2 model.fit(X_train["comment_preproc"], y_train["label"])
      3 y_predict = model.predict(X_test["comment_preproc"])

/usr/local/lib/python3.6/dist-packages/xgboost/sklearn.py in fit(self, X, y, sample_weight, eval_set, eval_metric, early_stopping_rounds, verbose, xgb_model, sample_weight_eval_set, callbacks)
    717             evals = ()
    718 
--> 719         self._features_count = X.shape[1]
    720 
    721         if sample_weight is not None:

IndexError: tuple index out of range

我以为X_train和y_train的形状可能不同，但事实并非如此

我在做什么错？

Answer 1

Tuples (758079,)和(758079,)仅由一个元素组成。

因此出现错误：

>>> t = (758079,)
>>> t[0]
758079
>>> t[1]
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
IndexError: tuple index out of range