AttributeError: 'numpy.ndarray' 对象没有属性 'lower' 拟合逻辑模型数据 [英] AttributeError: 'numpy.ndarray' object has no attribute 'lower' fitting logistic model data

问题描述

我正在运行此代码:

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' 对象没有属性 'lower'

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

如何使逻辑模型拟合?

推荐答案

您不应该将 X_train 和 y_train 传递给 LogisticRegression 构造函数.你只需要

You shouldn't pass X_train and y_train to LogisticRegression constructor. You need just

...

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

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