LogisticRegression对象没有属性

我是Django和scikit-learn的noob，尝试使用这些技术创建一个简单的REST服务器来执行分类。到目前为止，我只是试图获得某种结果来测试控制器是否工作，但该程序似乎没有检测到我的LogisticRegression对象的任何属性。LogisticRegression对象没有属性

我的代码：

Request Method: \t POST 
 
Request URL: \t http://localhost:8000/classify/logistic_regression 
 
Django Version: \t 1.8.4 
 
Exception Type: \t AttributeError 
 
Exception Value: \t 
 
'LogisticRegression' object has no attribute 'fit' 
 
Exception Location: \t /Users/mart/myclassifier/classifierapi/views.py in post, line 31 
 
Python Executable: \t /Users/mart/myclassifier/myclassifiervenv/bin/python 
 
Python Version: \t 2.7.10 
 
Python Path: \t 
 
['/Users/mart/myclassifier', 
 
'/Users/mart/myclassifier/myclassifiervenv/lib/python27.zip', 
 
'/Users/mart/myclassifier/myclassifiervenv/lib/python2.7', 
 
'/Users/mart/myclassifier/myclassifiervenv/lib/python2.7/plat-darwin', 
 
'/Users/mart/myclassifier/myclassifiervenv/lib/python2.7/plat-mac', 
 
'/Users/mart/myclassifier/myclassifiervenv/lib/python2.7/plat-mac/lib-scriptpackages', 
 
'/Users/mart/myclassifier/myclassifiervenv/lib/python2.7/lib-tk', 
 
'/Users/mart/myclassifier/myclassifiervenv/lib/python2.7/lib-old', 
 
'/Users/mart/myclassifier/myclassifiervenv/lib/python2.7/lib-dynload', 
 
'/usr/local/Cellar/python/2.7.10/Frameworks/Python.framework/Versions/2.7/lib/python2.7', 
 
'/usr/local/Cellar/python/2.7.10/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-darwin', 
 
'/usr/local/Cellar/python/2.7.10/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-tk', 
 
'/usr/local/Cellar/python/2.7.10/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac', 
 
'/usr/local/Cellar/python/2.7.10/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac/lib-scriptpackages', 
 
'/Users/mart/myclassifier/myclassifiervenv/lib/python2.7/site-packages'] 
 
Server time: \t Wed, 14 Oct 2015 02:54:32 +0000

：

from rest_framework.views import APIView 
 
from .mixins import JSONResponseMixin 
 
from django.http import HttpResponse 
 
import numpy as np 
 
from sklearn import svm 
 
from sklearn.linear_model import LogisticRegression 
 
import json 
 
import pickle 
 

 

 
class LogisticRegression(APIView): 
 

 
    def get(self, request): 
 
     
 
     return HttpResponse("Stub") 
 

 

 
    def post(self, request): 
 
     logreg = LogisticRegression() 
 

 
     array = '{"data":' + request.body + '}' 
 
     #print array 
 
     jobj= json.loads(array) 
 
    
 
     jarray = jobj['data'] 
 
     matrix = np.asarray([[j['GravityX'], j['GravityY'], j['GravityZ'], j['true']] for j in jarray]) 
 

 
     X = matrix[:, :3] 
 
     y = matrix[:, 3] 
 

 
     logreg.fit(X, y)  
 
     
 
     return HttpResponse("test")

而结果（使用邮差与请求主体中的伪数据JSON创建）

我尝试了其他属性，并得到相应的no属性错误结果。有任何想法吗？

来源

2015-10-14 Cartesian Theater

更改

from sklearn.linear_model import LogisticRegression

到

import sklearn.linear_model as lm

和使用

logreg = lm.LogisticRegression()

固定它。

来源

2015-10-14 04:12:34

LogisticRegression对象没有属性

回答

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