def get_alpha_b(model):
"""
Get the ``(alpha, b)`` parameters from a model
"""
y = model.prob.y_array
len_y = model.prob.size
y_0 = svmc.double_getitem(y,0)
coefs, perm, rho = get_model_params(model)
minp = min(perm)
alpha = zeros(len_y)
alpha[perm-minp] = coefs
return (alpha, -rho)
def get_model_params(model):
"""
Extract the alpha and b parameters from the SVM model.
returns (alpha, b)
"""
rho = svmc.svm_get_model_rho(model.model)
n = svmc.svm_get_model_num_coefs(model.model)
coefs_dblarr = svmc.new_double(n)
perm_intarr = svmc.new_int(n)
try:
svmc.svm_get_model_coefs(model.model,coefs_dblarr)
svmc.svm_get_model_perm(model.model,perm_intarr)
coefs = np.zeros(n,dtype=float)
perm = np.zeros(n,dtype=int)
for i in range(n):
coefs[i] = svmc.double_getitem(coefs_dblarr,i)
perm[i] = svmc.int_getitem(perm_intarr,i)
finally:
svmc.delete_double(coefs_dblarr)
svmc.delete_int(perm_intarr)
return (coefs, perm, rho)
def get_model_params(model):
"""
Extract the alpha and b parameters from the SVM model.
returns (alpha, b)
"""
rho = svmc.svm_get_model_rho(model.model)
n = svmc.svm_get_model_num_coefs(model.model)
coefs_dblarr = svmc.new_double(n)
perm_intarr = svmc.new_int(n)
try:
svmc.svm_get_model_coefs(model.model,coefs_dblarr)
svmc.svm_get_model_perm(model.model,perm_intarr)
coefs = np.zeros(n,dtype=float)
perm = np.zeros(n,dtype=int)
for i in range(n):
coefs[i] = svmc.double_getitem(coefs_dblarr,i)
perm[i] = svmc.int_getitem(perm_intarr,i)
finally:
svmc.delete_double(coefs_dblarr)
svmc.delete_int(perm_intarr)
return (coefs, perm, rho)
