3116001336(5)

所属分类其他
开发工具:matlab
文件大小:629KB
下载次数:0
上传日期:2019-06-12 16:04:03
上 传 者刘homeand
说明:  在本练习中,您将实现正则化线性回归并使用它来研究具有不同偏差 - 方差属性的模型。在开始编程练习之前,我们强烈建议您观看视频讲座并完成相关主题的评论问题。要开始练习,您需要下载入门代码并将其内容解压缩到您希望完成练习的目录。如果需要,请在开始本练习之前使用Octave中的cd命令切换到此目录。
(To get started with the exercise, you will need to download the starter code and unzip its contents to the directory where you wish to complete the exercise. If needed, use the cd command in Octave to change to this directory before starting this exercise.)

文件列表:[举报垃圾]
3116001336, 0 , 2019-05-07
3116001336\3116001336.doc, 32302 , 2019-05-07
3116001336\code, 0 , 2019-05-07
3116001336\code\dataset3Params.m, 1347 , 2019-05-06
3116001336\code\emailFeatures.m, 1421 , 2019-05-06
3116001336\code\emailSample1.txt, 393 , 2017-03-14
3116001336\code\emailSample2.txt, 1301 , 2017-03-14
3116001336\code\visualizeBoundaryLinear.m, 410 , 2017-03-14
3116001336\code\visualizeBoundary.m, 729 , 2017-03-14
3116001336\code\ex6.m, 4149 , 2017-03-14
3116001336\code\ex6_spam.m, 4593 , 2017-03-14
3116001336\code\ex6data1.mat, 981 , 2017-03-14
3116001336\code\ex6data2.mat, 7604 , 2017-03-14
3116001336\code\ex6data3.mat, 6038 , 2017-03-14
3116001336\code\svmTrain.m, 5964 , 2017-03-14
3116001336\code\svmPredict.m, 1669 , 2017-03-14
3116001336\code\gaussianKernel.m, 713 , 2019-04-30
3116001336\code\getVocabList.m, 761 , 2017-03-14
3116001336\code\submit.m, 1318 , 2017-03-14
3116001336\code\lib, 0 , 2019-05-07
3116001336\code\lib\jsonlab, 0 , 2019-05-07
3116001336\code\lib\jsonlab\AUTHORS.txt, 1624 , 2017-03-14
3116001336\code\lib\jsonlab\ChangeLog.txt, 3862 , 2017-03-14
3116001336\code\lib\jsonlab\LICENSE_BSD.txt, 1551 , 2017-03-14
3116001336\code\lib\jsonlab\README.txt, 19369 , 2017-03-14
3116001336\code\lib\jsonlab\jsonopt.m, 881 , 2017-03-14
3116001336\code\lib\jsonlab\loadjson.m, 18732 , 2017-03-14
3116001336\code\lib\jsonlab\loadubjson.m, 15574 , 2017-03-14
3116001336\code\lib\jsonlab\mergestruct.m, 771 , 2017-03-14
3116001336\code\lib\jsonlab\savejson.m, 17462 , 2017-03-14
3116001336\code\lib\jsonlab\saveubjson.m, 16123 , 2017-03-14
3116001336\code\lib\jsonlab\varargin2struct.m, 1094 , 2017-03-14
3116001336\code\lib\makeValidFieldName.m, 1195 , 2017-03-14
3116001336\code\lib\submitWithConfiguration.m, 5562 , 2017-03-14
3116001336\code\linearKernel.m, 323 , 2017-03-14
3116001336\code\spamTrain.mat, 428814 , 2017-03-14
3116001336\code\plotData.m, 569 , 2017-03-14
3116001336\code\spamTest.mat, 112717 , 2017-03-14
3116001336\code\spamSample2.txt, 245 , 2017-03-14
3116001336\code\porterStemmer.m, 9902 , 2017-03-14
3116001336\code\processEmail.m, 3511 , 2019-05-06
3116001336\code\readFile.m, 396 , 2017-03-14
3116001336\code\spamSample1.txt, 655 , 2017-03-14
3116001336\code\vocab.txt, 20240 , 2017-03-14
3116001336\code\ex5.m, 7355 , 2017-10-10
3116001336\code\ex5data1.mat, 1321 , 2017-10-10
3116001336\code\featureNormalize.m, 510 , 2017-10-10
3116001336\code\fmincg.m, 8742 , 2017-10-10
3116001336\code\learningCurve.m, 2591 , 2017-10-10
3116001336\code\linearRegCostFunction.m, 1141 , 2017-10-10
3116001336\code\plotFit.m, 804 , 2017-10-10
3116001336\code\polyFeatures.m, 709 , 2017-10-10
3116001336\code\submitWeb.m, 807 , 2017-10-10
3116001336\code\trainLinearReg.m, 714 , 2017-10-10
3116001336\code\validationCurve.m, 2010 , 2017-10-10

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