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 xrange(size):
svmc.double_setitem(y_array, i, y[i])
self.x_matrix = x_matrix = svmc.svm_node_matrix(size)
data = [None for i in xrange(size)]
maxlen = 0
for i in xrange(size):
x_i = x[i]
lx_i = len(x_i)
data[i] = d = seq_to_svm_node(x_i)
svmc.svm_node_matrix_set(x_matrix, i, d)
if isinstance(x_i, dict):
if (lx_i > 0):
maxlen = max(maxlen, max(x_i.keys()))
else:
maxlen = max(maxlen, lx_i)
# bind to instance
self.data = data
self.maxlen = maxlen
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 xrange(size):
svmc.double_setitem(y_array, i, y[i])
self.x_matrix = x_matrix = svmc.svm_node_matrix(size)
data = [None for i in xrange(size)]
maxlen = 0
for i in xrange(size):
x_i = x[i]
lx_i = len(x_i)
data[i] = d = seq_to_svm_node(x_i)
svmc.svm_node_matrix_set(x_matrix, i, d)
if isinstance(x_i, dict):
if (lx_i > 0):
maxlen = max(maxlen, max(x_i.keys()))
else:
maxlen = max(maxlen, lx_i)
# bind to instance
self.data = data
self.maxlen = maxlen
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 = convert2SVMNode(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)