逻辑回归错误 Object has no attribute '_validate_data'

Question

我正在训练逻辑分类器，调用分类器后，我似乎无法拟合训练数据。 这就是我得到的。

# calling the classifier 
from sklearn.linear_model import LogisticRegression

# instantiated the classifier
log model = LogisticRegression()

# when I try to fit the model with
logmodel.fit(X_train,y_train)

我收到这个错误

------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-143-0b508b2e1562> in <module>
----> 1 logmodel.fit(X_train,y_train)

/opt/anaconda3/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py in fit(self, X, y, sample_weight)
   1340             _dtype = [np.float64, np.float32]
   1341 
-> 1342         X, y = self._validate_data(X, y, accept_sparse='csr', dtype=_dtype,
   1343                                    order="C",
   1344                                    accept_large_sparse=solver != 'liblinear')

AttributeError: 'LogisticRegression' object has no attribute '_validate_data'

有人可以帮忙吗？

Answer 1

改变：

from sklearn.linear_model import LogisticRegression

到

import sklearn.linear_model as lm

并使用实例化分类器

log_model = lm.LogisticRegression()

应该解决这个问题。