56 lines
1.3 KiB
Matlab
56 lines
1.3 KiB
Matlab
function submit()
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addpath('./lib');
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conf.assignmentSlug = 'support-vector-machines';
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conf.itemName = 'Support Vector Machines';
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conf.partArrays = { ...
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{ ...
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'1', ...
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{ 'gaussianKernel.m' }, ...
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'Gaussian Kernel', ...
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}, ...
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{ ...
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'2', ...
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{ 'dataset3Params.m' }, ...
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'Parameters (C, sigma) for Dataset 3', ...
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}, ...
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{ ...
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'3', ...
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{ 'processEmail.m' }, ...
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'Email Preprocessing', ...
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}, ...
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{ ...
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'4', ...
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{ 'emailFeatures.m' }, ...
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'Email Feature Extraction', ...
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}, ...
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};
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conf.output = @output;
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submitWithConfiguration(conf);
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end
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function out = output(partId, auxstring)
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% Random Test Cases
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x1 = sin(1:10)';
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x2 = cos(1:10)';
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ec = 'the quick brown fox jumped over the lazy dog';
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wi = 1 + abs(round(x1 * 1863));
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wi = [wi ; wi];
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if partId == '1'
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sim = gaussianKernel(x1, x2, 2);
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out = sprintf('%0.5f ', sim);
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elseif partId == '2'
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load('ex6data3.mat');
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[C, sigma] = dataset3Params(X, y, Xval, yval);
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out = sprintf('%0.5f ', C);
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out = [out sprintf('%0.5f ', sigma)];
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elseif partId == '3'
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word_indices = processEmail(ec);
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out = sprintf('%d ', word_indices);
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elseif partId == '4'
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x = emailFeatures(wi);
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out = sprintf('%d ', x);
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end
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end
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