Python new_svm_problem Examples

Example #1

File: svm.py Project: zhimin-z/Programming-Collective-Intelligence

    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)

Example #2

File: svm.py Project: 1060460048/programming-collective-intelligence-code

	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)