qiskit.aqua.utils.optimize_svm

optimize_svm(kernel_matrix, y, scaling=None, maxiter=500, show_progress=False, max_iters=None, lambda2=0.001)

Solving quadratic programming problem for SVM; thus, some constraints are fixed.

Parameters

• kernel_matrix (ndarray) – NxN array
• y (ndarray) – Nx1 array
• scaling (Optional[float]) – the scaling factor to renormalize the y, if it is None, use L2-norm of y for normalization
• maxiter (int) – number of iterations for QP solver
• show_progress (bool) – showing the progress of QP solver
• max_iters (Optional[int]) – Deprecated, use maxiter.
• lambda2 (float) – L2 Norm regularization factor

Returns

Sx1 array, where S is the number of supports np.ndarray: Sx1 array, where S is the number of supports np.ndarray: Sx1 array, where S is the number of supports

Return type

np.ndarray

Raises

MissingOptionalLibraryError – If cvxpy is not installed