lambda = 1; options = optimoptions (@ fminunc, 'Algorithm', 'Quasi-Newton', 'Gradobj', 'on', 'MaxIter', 1000); [theta, J, exit_flag] = fminunc (@ (t) (costFunctionReg (t, x, y, lambda)), initial_theta, options); plotDecisionBoundary (theta, X, y); hold on; title (sprintf('lambda = %g', lambda)) xlabel ('Microchip Test 1') ylabel ('Microchip Test 2') legend ('y = 1', 'y = 0', 'Decision boundary') hold off; p = predict (theta, X); fprintf ('Train Accuracy: $f\n', mean (double (p == y)) * 100);
lambda = 1; options = optimoptions (@ fminunc, 'Algorithm', 'Quasi-Newton', 'Gradobj', 'on', 'MaxIter', 1000); [theta, J, exit_flag] = fminunc (@ (t) (costFunctionReg (t, x, y, lambda)), initial_theta, options); plotDecisionBoundary (theta, X, y); hold on; title (sprintf('lambda = %g', lambda)) xlabel ('Microchip Test 1') ylabel ('Microchip Test 2') legend ('y = 1', 'y = 0', 'Decision boundary') hold off; p = predict (theta, X); fprintf ('Train Accuracy: $f\n', mean (double (p == y)) * 100);
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
Related questions
Question
![1-Change this code from Matlab to Phython:
initial_theta = zeros (size (X, 2), 1);
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lambda = 1;
options = optimoptions (@ fminunc, 'Algorithm', 'Quasi-Newton','Gradobj', 'on',
[theta, J, exit_flag] = fminunc (@ (t) (costFunctionReg (t, X, y, lambda)), initial_theta, options);
plotDecisionBoundary (theta, X, y);
49
'MaxIter', 1000);
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hold on;
title (sprintf ('lambda = %g', lambda))
xlabel ('Microchip Test 1')
ylabel ('Microchip Test 2')
legend ('y = 1', 'y = 0',
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'Decision boundary')
57
hold off;
p = predict (theta, X);
fprintf('Train Accuracy: %f\n', mean (double (p == y)) * 100);
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59](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdeb17eef-57d7-43a1-af8c-1531444fc3c3%2Fb89ce81e-0249-495c-95a9-70b24ffdbfda%2Fo0ysxds_processed.jpeg&w=3840&q=75)
Transcribed Image Text:1-Change this code from Matlab to Phython:
initial_theta = zeros (size (X, 2), 1);
46
47
48
lambda = 1;
options = optimoptions (@ fminunc, 'Algorithm', 'Quasi-Newton','Gradobj', 'on',
[theta, J, exit_flag] = fminunc (@ (t) (costFunctionReg (t, X, y, lambda)), initial_theta, options);
plotDecisionBoundary (theta, X, y);
49
'MaxIter', 1000);
50
51
52
hold on;
title (sprintf ('lambda = %g', lambda))
xlabel ('Microchip Test 1')
ylabel ('Microchip Test 2')
legend ('y = 1', 'y = 0',
53
54
55
56
'Decision boundary')
57
hold off;
p = predict (theta, X);
fprintf('Train Accuracy: %f\n', mean (double (p == y)) * 100);
58
59
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