CVXOPT QP Solver: TypeError: 'A' Must Be A 'd' Matrix With 1000 Columns

I'm trying to use the CVXOPT qp solver to compute the Lagrange Multipliers for a Support Vector Machine def svm(X, Y, c): m = len(X) P = matrix(np.dot(Y, Y.T) * np.dot(

Solution 1:

Your matrix elements have to be of the floating-point type as well. So the error is removed by using A = A.astype('float') to cast it.

Solution 2:

i have try A=A.astype(double) to solve it, but it is invalid, since python doesn't know what double is or A has no method astype.

therefore

via using A = matrix(A, (1, m), 'd') could actually solve this problem!

Solution 3:

The error - "TypeError: 'A' must be a 'd' matrix with 1000 columns:" has two condition namely:

1. if the type code is not equal to 'd'
2. if the A.size[1] != c.size[0].

Check for these conditions.