Description: ex6.m- Octave script for the rst half of the exercise
ex6data1.mat- Example Dataset 1
ex6data2.mat- Example Dataset 2
ex6data3.mat- Example Dataset 3
svmTrain.m- SVM rraining function
svmPredict.m- SVM prediction function
plotData.m- Plot 2D data
visualizeBoundaryLinear.m- Plot linear boundary
visualizeBoundary.m- Plot non-linear boundary
linearKernel.m- Linear kernel for SVM
[?] gaussianKernel.m- Gaussian kernel for SVM
[?] dataset3Params.m- Parameters to use for Dataset 3
ex6 spam.m- Octave script for the second half of the exercise
spamTrain.mat- Spam training set
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spamTest.mat- Spam test set
emailSample1.txt- Sample email 1
emailSample2.txt- Sample email 2
spamSample1.txt- Sample spam 1
spamSample2.txt- Sample spam 2
vocab.txt- Vocabulary list
getVocabList.m- Load vocabulary list
porterStemmer.m- Stemming function
readFile.m- Reads a le into a character string
submit.m- Submission script that sends your solutions to our servers
submitWeb.m- Alternative s
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File list (Check if you may need any files):
mlclass-ex6\dataset3Params.m
...........\emailFeatures.m
...........\emailSample1.txt
...........\emailSample2.txt
...........\ex6.m
...........\ex6data1.mat
...........\ex6data2.mat
...........\ex6data3.mat
...........\ex6_spam.m
...........\gaussianKernel.m
...........\getVocabList.m
...........\linearKernel.m
...........\ml_login_data.mat
...........\plotData.m
...........\porterStemmer.m
...........\processEmail.m
...........\readFile.m
...........\spamSample1.txt
...........\spamSample2.txt
...........\spamTest.mat
...........\spamTrain.mat
...........\submit.m
...........\submitWeb.m
...........\svmPredict.m
...........\svmTrain.m
...........\visualizeBoundary.m
...........\visualizeBoundaryLinear.m
...........\vocab.txt
mlclass-ex6
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