‘‘‘Created?on?Mar20?2014
Logistic??regression?classify?with?（Random）?Gradient?Ascent?method
@author:?Aidan
‘‘‘

from?numpy?import?*
from?object_json?import?*
from?copy?import?*
import?pdb

class?logisticRegres（object）:
????def?__init__（selfclassifierArray?=?None?**args）:
????????‘‘‘classifierArray?is?（1m+1）numpy?array?m?is?the
????????feture?number?of?sample‘‘‘
????????obj_list?=?inspect.stack（）[1][-2]
????????self.__name__?=?obj_list[0].split（‘=‘）[0].strip（）

????????self.classifierArray?=?classifierArray

????def?jsonDumpsTransfer（self）:
????????‘‘‘essential?transformation?to?Python?basic?type?in?order?to
????????store?as?json.?dumps?as?objectname.json?if?filename?missed?‘‘‘
????????#pdb.set_trace（）
????????self.classifierArray?=?self.classifierArray.tolist（）

????def?jsonDumps（self?filename=None）:
????????‘‘‘dumps?to?json?file‘‘‘
????????self.jsonDumpsTransfer（）
????????if?not?filename:
????????????jsonfile?=?self.__name__+‘.json‘
????????else:?jsonfile?=?filename
????????objectDumps2File（self?jsonfile）
????????
????def?jsonloadTransfer（self）:??????
????????‘‘‘essential?transformation?to?object?required?type?such?as?numpy?matrix
????????call?this?function?after?newobject?=?objectLoadFromFile（jsonfile）‘‘‘
????????#pdb.set_trace（）
????????self.classifierArray?=?array（self.classifierArray）

????def?getClassifierArray（self）:
????????return?self.classifierArray

????def?setClassifierArray（self?classifierArray）:
????????self.classifierArray?=?deepcopy（classifierArray）

????def?__sigmoid（self?inX）:
????????return?1.0/（1+exp（-inX））

????def?classifyArray（self?dataToClassList）:
????????‘‘‘dataToClassListis?（1n）numpy?array?n?indicates?the?sample?number?each?sampe?is?（1m）list
????????for?example?[[12]][[12][34]]‘‘‘
????????dataToClassMat?=?mat（dataToClassList）
????????#pdb.set_trace（）
????????nm?=?dataToClassMat.shape
????????estClassMat?=?self.__sigmoid（self.classifierArray?*?dataToClassMat.T）
????????#pdb.set_trace（）
????????estClassMat[estClassMat>0.5]?=?1.0
????????estClassMat[estClassMat<=0.5]?=?0.0
????????return?estClassMat
????????

????def?classifySample（self?dataToClass）:
????????‘‘‘dataToClass?is?a?sample.?for?example?[12]‘‘‘
????????prob?=?self.__sigmoid（sum（self.classifierArray?*?dataToClass））

????????if?prob?>?0.5:
????????????return?1
????????else:
????????????return?0

????def?__gradAscent（self?dataMatIn?classLabelsnumIter=500）:
????????‘‘‘the?return?weights?is?（1m+1）numpy?array
????????m?indicates?the?sample?feturen?number‘‘‘
????????dataMatrix?=?mat（dataMatIn）?????????????#convert?to?NumPy?matrix
????????labelMat?=?mat（classLabels）.transpose（）?#convert?to?NumPy?matrix
????????mn?=?shape（dataMatrix）
????????alpha?=?0.001#step
????????weights?=?mat（ones（（n1）））#the?default?value?is?1.0
????????for?k?in?range（numIter）:??????????????#heavy?on?matrix?operations
????????????h?=?self.__sigmoid（dataMatrix*weights）?????#matrix?mult
????

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----

?????文件???????3788??2010-11-01?15:09??LR\horseColicTest.txt

?????文件??????60655??2010-11-01?14:56??LR\horseColicTraining.txt

?????文件???????6505??2014-12-09?11:12??LR\lr.py

?????文件???????7268??2014-12-03?16:40??LR\lr.pyc

?????文件????????543??2014-12-03?16:38??LR\LRClassifier150.json

?????文件????????539??2014-12-03?16:41??LR\LRClassifier250.json

?????文件????????538??2014-12-03?16:41??LR\LRClassifier300.json

?????文件????????539??2014-12-03?16:41??LR\LRClassifier500.json

?????文件???????2789??2014-12-01?12:11??LR\object_json.py

?????文件???????3920??2014-12-02?15:42??LR\object_json.pyc

?????文件???????2136??2014-12-09?11:12??LR\test.py

?????文件???????2187??2010-10-29?06:46??LR\testSet.txt

?????目錄??????????0??2014-12-03?16:41??LR

-----------?---------??----------?-----??----

????????????????91407????????????????????13