function?[C?sigma]?=?dataset3Params（X?y?Xval?yval）
%DATASET3PARAMS?returns?your?choice?of?C?and?sigma?for?Part?3?of?the?exercise
%where?you?select?the?optimal?（C?sigma）?learning?parameters?to?use?for?SVM
%with?RBF?kernel
%???[C?sigma]?=?DATASET3PARAMS（X?y?Xval?yval）?returns?your?choice?of?C?and?
%???sigma.?You?should?complete?this?function?to?return?the?optimal?C?and?
%???sigma?based?on?a?cross-validation?set.
%

%?You?need?to?return?the?following?variables?correctly.
C?=?1;
sigma?=?0.3;

%?======================?YOUR?CODE?HERE?======================
%?Instructions:?Fill?in?this?function?to?return?the?optimal?C?and?sigma
%???????????????learning?parameters?found?using?the?cross?validation?set.
%???????????????You?can?use?svmPredict?to?predict?the?labels?on?the?cross
%???????????????validation?set.?For?example?
%???????????????????predictions?=?svmPredict（model?Xval）;
%???????????????will?return?the?predictions?on?the?cross?validation?set.
%
%??Note:?You?can?compute?the?predi

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2018-03-11?13:40??spam-filter-master\
?????文件??????????57??2018-03-11?13:40??spam-filter-master\README.md
?????文件????????1751??2018-03-11?13:40??spam-filter-master\dataset3Params.m
?????文件????????2221??2018-03-11?13:40??spam-filter-master\emailFeatures.m
?????文件?????????393??2018-03-11?13:40??spam-filter-master\emailSample1.txt
?????文件????????1301??2018-03-11?13:40??spam-filter-master\emailSample2.txt
?????文件????????4152??2018-03-11?13:40??spam-filter-master\ex6.m
?????文件????????4594??2018-03-11?13:40??spam-filter-master\ex6_spam.m
?????文件?????????981??2018-03-11?13:40??spam-filter-master\ex6data1.mat
?????文件????????7604??2018-03-11?13:40??spam-filter-master\ex6data2.mat
?????文件????????6038??2018-03-11?13:40??spam-filter-master\ex6data3.mat
?????文件?????????723??2018-03-11?13:40??spam-filter-master\gaussianKernel.m
?????文件?????????761??2018-03-11?13:40??spam-filter-master\getVocabList.m