AttributeError的： 'numpy.ndarray' 对象没有属性

Question

我这段代码运行 '下' 拟合logistic模型数据：

from sklearn import cross_validation 
import numpy as np 
import sys 
import pandas as pd 
import matplotlib.pyplot as plt 
from sklearn import datasets, svm, metrics 

digits = datasets.load_digits() 

X_train, X_test, y_train, y_test = cross_validation.train_test_split(
digits.data, digits.target, test_size=0.4, random_state=0) 

clf = linear_model.LogisticRegression(X_train, y_train) 
clf.fit(X_train, y_train) 

我收到此错误：

AttributeError: 'numpy.ndarray' object has no attribute 'lower'

如何使逻辑模型适合？

Answer 1

您不应将X_train和y_train转换为LogisticRegression构造函数。您只需要

... 

clf = linear_model.LogisticRegression() 
clf.fit(X_train, y_train)