svmc.py

一种基于局部密度比权重设置模型的加权支持向量回归模型来单步求解多分类问题：该方法先分别对类样本中每类样本利用局部密度比权重设置模型求出每个样本的权重隶属因子,然后运用加权lib支持向量回归算法对所有样

# This file was created automatically by SWIG.
# Don't modify this file, modify the SWIG interface instead.
# This file is compatible with both classic and new-style classes.

import _svmc

def _swig_setattr(self,class_type,name,value):
    if (name == "this"):
        if isinstance(value, class_type):
            self.__dict__[name] = value.this
            if hasattr(value,"thisown"): self.__dict__["thisown"] = value.thisown
            del value.thisown
            return
    method = class_type.__swig_setmethods__.get(name,None)
    if method: return method(self,value)
    self.__dict__[name] = value

def _swig_getattr(self,class_type,name):
    method = class_type.__swig_getmethods__.get(name,None)
    if method: return method(self)
    raise AttributeError,name

import types
try:
    _object = types.ObjectType
    _newclass = 1
except AttributeError:
    class _object : pass
    _newclass = 0
del types


C_SVC = _svmc.C_SVC
NU_SVC = _svmc.NU_SVC
ONE_CLASS = _svmc.ONE_CLASS
EPSILON_SVR = _svmc.EPSILON_SVR
NU_SVR = _svmc.NU_SVR
LINEAR = _svmc.LINEAR
POLY = _svmc.POLY
RBF = _svmc.RBF
SIGMOID = _svmc.SIGMOID
class svm_parameter(_object):
    __swig_setmethods__ = {}
    __setattr__ = lambda self, name, value: _swig_setattr(self, svm_parameter, name, value)
    __swig_getmethods__ = {}
    __getattr__ = lambda self, name: _swig_getattr(self, svm_parameter, name)
    def __repr__(self):
        return "<C svm_parameter instance at %s>" % (self.this,)
    __swig_setmethods__["svm_type"] = _svmc.svm_parameter_svm_type_set
    __swig_getmethods__["svm_type"] = _svmc.svm_parameter_svm_type_get
    if _newclass:svm_type = property(_svmc.svm_parameter_svm_type_get, _svmc.svm_parameter_svm_type_set)
    __swig_setmethods__["kernel_type"] = _svmc.svm_parameter_kernel_type_set
    __swig_getmethods__["kernel_type"] = _svmc.svm_parameter_kernel_type_get
    if _newclass:kernel_type = property(_svmc.svm_parameter_kernel_type_get, _svmc.svm_parameter_kernel_type_set)
    __swig_setmethods__["degree"] = _svmc.svm_parameter_degree_set
    __swig_getmethods__["degree"] = _svmc.svm_parameter_degree_get
    if _newclass:degree = property(_svmc.svm_parameter_degree_get, _svmc.svm_parameter_degree_set)
    __swig_setmethods__["gamma"] = _svmc.svm_parameter_gamma_set
    __swig_getmethods__["gamma"] = _svmc.svm_parameter_gamma_get
    if _newclass:gamma = property(_svmc.svm_parameter_gamma_get, _svmc.svm_parameter_gamma_set)
    __swig_setmethods__["coef0"] = _svmc.svm_parameter_coef0_set
    __swig_getmethods__["coef0"] = _svmc.svm_parameter_coef0_get
    if _newclass:coef0 = property(_svmc.svm_parameter_coef0_get, _svmc.svm_parameter_coef0_set)
    __swig_setmethods__["cache_size"] = _svmc.svm_parameter_cache_size_set
    __swig_getmethods__["cache_size"] = _svmc.svm_parameter_cache_size_get
    if _newclass:cache_size = property(_svmc.svm_parameter_cache_size_get, _svmc.svm_parameter_cache_size_set)
    __swig_setmethods__["eps"] = _svmc.svm_parameter_eps_set
    __swig_getmethods__["eps"] = _svmc.svm_parameter_eps_get
    if _newclass:eps = property(_svmc.svm_parameter_eps_get, _svmc.svm_parameter_eps_set)
    __swig_setmethods__["C"] = _svmc.svm_parameter_C_set
    __swig_getmethods__["C"] = _svmc.svm_parameter_C_get
    if _newclass:C = property(_svmc.svm_parameter_C_get, _svmc.svm_parameter_C_set)
    __swig_setmethods__["nr_weight"] = _svmc.svm_parameter_nr_weight_set
    __swig_getmethods__["nr_weight"] = _svmc.svm_parameter_nr_weight_get
    if _newclass:nr_weight = property(_svmc.svm_parameter_nr_weight_get, _svmc.svm_parameter_nr_weight_set)
    __swig_setmethods__["weight_label"] = _svmc.svm_parameter_weight_label_set
    __swig_getmethods__["weight_label"] = _svmc.svm_parameter_weight_label_get
    if _newclass:weight_label = property(_svmc.svm_parameter_weight_label_get, _svmc.svm_parameter_weight_label_set)
    __swig_setmethods__["weight"] = _svmc.svm_parameter_weight_set
    __swig_getmethods__["weight"] = _svmc.svm_parameter_weight_get
    if _newclass:weight = property(_svmc.svm_parameter_weight_get, _svmc.svm_parameter_weight_set)
    __swig_setmethods__["nu"] = _svmc.svm_parameter_nu_set
    __swig_getmethods__["nu"] = _svmc.svm_parameter_nu_get
    if _newclass:nu = property(_svmc.svm_parameter_nu_get, _svmc.svm_parameter_nu_set)
    __swig_setmethods__["p"] = _svmc.svm_parameter_p_set
    __swig_getmethods__["p"] = _svmc.svm_parameter_p_get
    if _newclass:p = property(_svmc.svm_parameter_p_get, _svmc.svm_parameter_p_set)
    __swig_setmethods__["shrinking"] = _svmc.svm_parameter_shrinking_set
    __swig_getmethods__["shrinking"] = _svmc.svm_parameter_shrinking_get
    if _newclass:shrinking = property(_svmc.svm_parameter_shrinking_get, _svmc.svm_parameter_shrinking_set)
    __swig_setmethods__["probability"] = _svmc.svm_parameter_probability_set
    __swig_getmethods__["probability"] = _svmc.svm_parameter_probability_get
    if _newclass:probability = property(_svmc.svm_parameter_probability_get, _svmc.svm_parameter_probability_set)
    def __init__(self, *args):
        _swig_setattr(self, svm_parameter, 'this', _svmc.new_svm_parameter(*args))
        _swig_setattr(self, svm_parameter, 'thisown', 1)
    def __del__(self, destroy=_svmc.delete_svm_parameter):
        try:
            if self.thisown: destroy(self)
        except: pass

class svm_parameterPtr(svm_parameter):
    def __init__(self, this):
        _swig_setattr(self, svm_parameter, 'this', this)
        if not hasattr(self,"thisown"): _swig_setattr(self, svm_parameter, 'thisown', 0)
        _swig_setattr(self, svm_parameter,self.__class__,svm_parameter)
_svmc.svm_parameter_swigregister(svm_parameterPtr)

class svm_problem(_object):
    __swig_setmethods__ = {}
    __setattr__ = lambda self, name, value: _swig_setattr(self, svm_problem, name, value)
    __swig_getmethods__ = {}
    __getattr__ = lambda self, name: _swig_getattr(self, svm_problem, name)
    def __repr__(self):
        return "<C svm_problem instance at %s>" % (self.this,)
    __swig_setmethods__["l"] = _svmc.svm_problem_l_set
    __swig_getmethods__["l"] = _svmc.svm_problem_l_get
    if _newclass:l = property(_svmc.svm_problem_l_get, _svmc.svm_problem_l_set)
    __swig_setmethods__["y"] = _svmc.svm_problem_y_set
    __swig_getmethods__["y"] = _svmc.svm_problem_y_get
    if _newclass:y = property(_svmc.svm_problem_y_get, _svmc.svm_problem_y_set)
    __swig_setmethods__["x"] = _svmc.svm_problem_x_set
    __swig_getmethods__["x"] = _svmc.svm_problem_x_get
    if _newclass:x = property(_svmc.svm_problem_x_get, _svmc.svm_problem_x_set)
    __swig_setmethods__["W"] = _svmc.svm_problem_W_set
    __swig_getmethods__["W"] = _svmc.svm_problem_W_get
    if _newclass:W = property(_svmc.svm_problem_W_get, _svmc.svm_problem_W_set)
    def __init__(self, *args):
        _swig_setattr(self, svm_problem, 'this', _svmc.new_svm_problem(*args))
        _swig_setattr(self, svm_problem, 'thisown', 1)
    def __del__(self, destroy=_svmc.delete_svm_problem):
        try:
            if self.thisown: destroy(self)
        except: pass

class svm_problemPtr(svm_problem):
    def __init__(self, this):
        _swig_setattr(self, svm_problem, 'this', this)
        if not hasattr(self,"thisown"): _swig_setattr(self, svm_problem, 'thisown', 0)
        _swig_setattr(self, svm_problem,self.__class__,svm_problem)
_svmc.svm_problem_swigregister(svm_problemPtr)


svm_train = _svmc.svm_train

svm_cross_validation = _svmc.svm_cross_validation

svm_save_model = _svmc.svm_save_model

svm_load_model = _svmc.svm_load_model

svm_get_svm_type = _svmc.svm_get_svm_type

svm_get_nr_class = _svmc.svm_get_nr_class

svm_get_labels = _svmc.svm_get_labels

svm_get_svr_probability = _svmc.svm_get_svr_probability

svm_predict_values = _svmc.svm_predict_values

svm_predict = _svmc.svm_predict

svm_predict_probability = _svmc.svm_predict_probability

svm_destroy_model = _svmc.svm_destroy_model

svm_check_parameter = _svmc.svm_check_parameter

svm_check_probability_model = _svmc.svm_check_probability_model

new_int = _svmc.new_int

delete_int = _svmc.delete_int

int_getitem = _svmc.int_getitem

int_setitem = _svmc.int_setitem

new_double = _svmc.new_double

delete_double = _svmc.delete_double

double_getitem = _svmc.double_getitem

double_setitem = _svmc.double_setitem

svm_node_array = _svmc.svm_node_array

svm_node_array_set = _svmc.svm_node_array_set

svm_node_array_destroy = _svmc.svm_node_array_destroy

svm_node_matrix = _svmc.svm_node_matrix

svm_node_matrix_set = _svmc.svm_node_matrix_set

svm_node_matrix_destroy = _svmc.svm_node_matrix_destroy