Różnice między wybraną wersją a wersją aktualną.
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pl:dydaktyka:ml:lab9 [2013/04/23 10:12] esimon |
pl:dydaktyka:ml:lab9 [2019/06/27 15:50] |
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| - | ====== Support Vector Machines ====== | ||
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| - | Ćwiczenia bazujące na materiałach Andrew Ng.\\ | ||
| - | Przed zajęciami przejrzyj wykłady [[https://class.coursera.org/ml/lecture/preview|XII]] \\ | ||
| - | {{:pl:dydaktyka:ml:ex6.pdf|Instructions}} in English. | ||
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| - | Ćwiczenia do pobrania (files to download): {{:pl:dydaktyka:ml:svm.zip|SVM}} | ||
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| - | ===== Lista i opis plików ===== | ||
| - | Pliki oznaczone znakiem wykrzyknika (:!:) należy wypełnić własnym kodem | ||
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| - | * ex6.m - Octave script for the first half of the exercise | ||
| - | * ex6data1.mat - Example Dataset 1 | ||
| - | * ex6data2.mat - Example Dataset 2 | ||
| - | * ex6data3.mat - Example Dataset 3 | ||
| - | * svmTrain.m - SVM training 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 | ||
| - | * 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 file into a character string | ||
| - | * submit.m - Submission script that sends your solutions to our servers | ||
| - | * submitWeb.m - Alternative submission script | ||
| - | * :!: processEmail.m - Email preprocessing | ||
| - | * :!: emailFeatures.m - Feature extraction from emails | ||
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