AttributeError的： 'numpy.ndarray' 對象沒有屬性

Question

我這段代碼運行 '下' 擬合logistic模型數據：

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) 

我收到此錯誤：

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

如何使邏輯模型適合？

Answer 1

您不應將X_train和y_train轉換爲LogisticRegression構造函數。您只需要

... 

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