# Scikit-Learn : Jupyter Python 3.x code

Hi,

I want to solve the below LP problem using scikit learn on Jupyter notebook Python 3.x, can you provide me with a code?

Find values of W1 & W2 by making q1=0= q2=q3=q4=q5

Iteration1:

minimize the function=q1+q2+q3+q4+q5;

-1*(W1*0 + W2*0 + b) + q1 >=1;

-1*(W1*10 + W2*10 + b) + q2 >=1;

1*(W1*0 + W2*10 + b) + q3 >=1;

1*(W1*10 + W2*0 + b) + q4 >=1;

1*(W1*(-10) + W2*10 + b) + q5 >=1;

@free(W1); # This step means keep no boundation on W1

@free(W2); # This step means keep no boundation on W2

@free(b); # This step means keep no boundation on b

end

Check Values of q1 till q5 at the end of iteration 1

Equations for which q is not equal to zero, work on them in iteration2 as below by adding one more weight variable

Iteration2:

minimize the function=q1+q2+q3+q4+q5;

-1*(W1*0 + W2*0 + Wa*0 + b) + q1 >=1;

-1*(W1*10 + W2*10 + Wa*0 + b) + q2 >=1;

1*(W1*0 + W2*10 + Wa*1 + b) + q3 >=1;

1*(W1*10 + W2*0 + Wa*0 + b) + q4 >=1;

1*(W1*(-10) + W2*10 + Wa*0 + b) + q5 >=1;

@free(W1); # This step means keep no boundation on W1

@free(W2); # This step means keep no boundation on W2

@free(b); # This step means keep no boundation on b

# But keeping a boundation on Wa as positive

Again check Values of q1 till q5 at the end of iteration 1

Equations for which q was equal to zero at the end of iterations1 should remain zero and the one for which q was not zero at the end of iteration 1 not at the end of iteration 2 should become zero

#Iteration3:

Adding one more weight

min=q1+q2+q3+q4+q5;

-1*(W1*0 + W2*0 + Wa*0 + b*0 + b) + q1 >=1;

-1*(W1*10 + W2*10 + Wa*0 + Wb*0+ b) + q2 >=1;

1*(W1*0 + W2*10 + Wa*1 + Wb*0+ b) + q3 >=1;

1*(W1*10 + W2*0 + Wa*0 + Wb*1 + b) + q4 >=1;

1*(W1*(-10) + W2*10 + Wa*0 + Wb*0+ b) + q5 >=1;

@free(W1);

@free(W2);

@free(b);

Finally Making all Qs as zero.

P.S.: This is solving an XOR Gate with a noise at (-10,-10) using LP

Tentang Majikan:
( 0 ulasan ) NOIDA, India

ID Projek: #17636120

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