def __init__(self, y, x):
assert len(y) == len(x)
self.prob = prob = svmc.new_svm_problem()
self.size = size = len(y)
self.y_array = y_array = svmc.new_double(size)
for i in range(size):
svmc.double_setitem(y_array, i, y[i])
self.x_matrix = x_matrix = svmc.svm_node_matrix(size)
self.data = []
self.maxlen = 0
for i in range(size):
data = _convert_to_svm_node_array(x[i])
self.data.append(data)
svmc.svm_node_matrix_set(x_matrix, i, data)
if type(x[i]) == dict:
if (len(x[i]) > 0):
self.maxlen = max(self.maxlen, max(x[i].keys()))
else:
self.maxlen = max(self.maxlen, len(x[i]))
svmc.svm_problem_l_set(prob, size)
svmc.svm_problem_y_set(prob, y_array)
svmc.svm_problem_x_set(prob, x_matrix)
def __init__(self,y,x): assert len(y) == len(x) self.prob = prob = svmc.new_svm_problem() self.size = size = len(y) self.y_array = y_array = svmc.new_double(size) for i in range(size): svmc.double_setitem(y_array,i,y[i]) self.x_matrix = x_matrix = svmc.svm_node_matrix(size) self.data = [] self.maxlen = 0; for i in range(size): data = _convert_to_svm_node_array(x[i]) self.data.append(data); svmc.svm_node_matrix_set(x_matrix,i,data) if type(x[i]) == dict: if (len(x[i]) > 0): self.maxlen = max(self.maxlen,max(x[i].keys())) else: self.maxlen = max(self.maxlen,len(x[i])) svmc.svm_problem_l_set(prob,size) svmc.svm_problem_y_set(prob,y_array) svmc.svm_problem_x_set(prob,x_matrix)
def _double_array(seq):
size = len(seq)
array = svmc.new_double(size)
i = 0
for item in seq:
svmc.double_setitem(array, i, item)
i = i + 1
return array
def _double_array(seq): size = len(seq) array = svmc.new_double(size) i = 0 for item in seq: svmc.double_setitem(array,i,item) i = i + 1 return array
