70 lines
1.8 KiB
Matlab
70 lines
1.8 KiB
Matlab
function submit()
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addpath('./lib');
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conf.assignmentSlug = 'linear-regression';
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conf.itemName = 'Linear Regression with Multiple Variables';
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conf.partArrays = { ...
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{ ...
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'1', ...
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{ 'warmUpExercise.m' }, ...
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'Warm-up Exercise', ...
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}, ...
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{ ...
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'2', ...
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{ 'computeCost.m' }, ...
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'Computing Cost (for One Variable)', ...
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}, ...
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{ ...
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'3', ...
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{ 'gradientDescent.m' }, ...
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'Gradient Descent (for One Variable)', ...
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}, ...
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{ ...
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'4', ...
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{ 'featureNormalize.m' }, ...
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'Feature Normalization', ...
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}, ...
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{ ...
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'5', ...
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{ 'computeCostMulti.m' }, ...
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'Computing Cost (for Multiple Variables)', ...
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}, ...
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{ ...
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'6', ...
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{ 'gradientDescentMulti.m' }, ...
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'Gradient Descent (for Multiple Variables)', ...
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}, ...
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{ ...
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'7', ...
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{ 'normalEqn.m' }, ...
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'Normal Equations', ...
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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)
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% Random Test Cases
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X1 = [ones(20,1) (exp(1) + exp(2) * (0.1:0.1:2))'];
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Y1 = X1(:,2) + sin(X1(:,1)) + cos(X1(:,2));
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X2 = [X1 X1(:,2).^0.5 X1(:,2).^0.25];
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Y2 = Y1.^0.5 + Y1;
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if partId == '1'
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out = sprintf('%0.5f ', warmUpExercise());
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elseif partId == '2'
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out = sprintf('%0.5f ', computeCost(X1, Y1, [0.5 -0.5]'));
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elseif partId == '3'
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out = sprintf('%0.5f ', gradientDescent(X1, Y1, [0.5 -0.5]', 0.01, 10));
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elseif partId == '4'
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out = sprintf('%0.5f ', featureNormalize(X2(:,2:4)));
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elseif partId == '5'
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out = sprintf('%0.5f ', computeCostMulti(X2, Y2, [0.1 0.2 0.3 0.4]'));
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elseif partId == '6'
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out = sprintf('%0.5f ', gradientDescentMulti(X2, Y2, [-0.1 -0.2 -0.3 -0.4]', 0.01, 10));
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elseif partId == '7'
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out = sprintf('%0.5f ', normalEqn(X2, Y2));
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end
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end
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