Python multiTest示例

示例#1

文件： main.py 项目： guoguanglu/ML_in_action_and_statistic_learning

import logRegres
from numpy import *
dataArr, labelMat = logRegres.loadDataSet()
weights = logRegres.stocGraAscent1(array(dataArr), labelMat)
logRegres.multiTest()

示例#2

文件： logRegresTest.py 项目： ForrestPi/ML

#!/usr/bin/env python
#-*- coding:utf-8 -*-

import logRegres
from numpy import *
dataArr,labelMat=logRegres.loadDataSet()
#weights = logRegres.gradAscent(dataArr,labelMat)
#logRegres.plotBestFit(weights.getA())
weights = logRegres.stocGradAscent1(array(dataArr),labelMat)
logRegres.plotBestFit(weights)

logRegres.multiTest()
    

示例#3

def runColic():
    """
    疝气病病马案例测试
    :return:
    """
    lr.multiTest()

示例#4

文件： run.py 项目： wsh790/Machine-Learning-code

import logRegres
print(logRegres.multiTest())

示例#5

文件： colicTest.py 项目： tantexian/MLAction

 def test_colic_mult(self):
     logRegres.multiTest()

示例#6

文件： command.py 项目： sunbeansoft/MLaction

__author__ = 'sunbeansoft'

import logRegres as lr
from numpy import *

dataArr, labelMat = lr.loadDataSet()
weight = lr.gradAscent(dataArr, labelMat)
lr.plotBestFit(weight.getA())
weight = lr.stocGradAscent0(array(dataArr), labelMat)
lr.plotBestFit(weight)
weight = lr.stocGradAscent1(array(dataArr), labelMat)
lr.plotBestFit(weight)

lr.multiTest()