class AeonUtility(SDKUtility): """ Including Utility Functions for Aeon Usage DataStorage Content: self.wp_filepath = wp_filepath self.wifi_filepath = wifi_filepath self.wifi_list = wifi_list self.wp_pos = wp_pos self.wp_ind = wp_ind self.wifi_matrix = wifi_matrix """ def __init__(self): SDKUtility.__init__(self) self.loader = LoadWifiData() self.map_ratio = 10 def load_wifi(self, wp_path, wifi_path, ref_list=[]): if ref_list: wifi = self.loader.extract_with_ref(wp_path, wifi_path, ref_list) else: wifi = self.loader.extract(wp_path, wifi_path) return wifi def extract_aeon(self, wifi_path, ref_list): file_list = os.listdir(wifi_path) route = [] for fn in file_list: if 'journal' in fn: continue data = self.extract_wifi(os.path.join(wifi_path,fn), ref_list) route += data return route def accuracy(self, res, test_pos, train_pos): RMSE = [] for i,n in enumerate(res): pos_res = array(train_pos[n]); pos_tar = array(test_pos[i]); pos_diff = pos_res se = sqrt(((pos_tar - pos_diff) ** 2).sum()) / self.map_ratio RMSE.append(se) return RMSE def pos_weighted(self, w_arr, cls_pos): t_pos = zeros(array(cls_pos[0]).shape) for i, w in enumerate(w_arr): t_pos += array(cls_pos[i]) * w t_pos = t_pos / w_arr.sum() return t_pos def accuracy_proba(self, res, test_pos, train_pos): RMSE = [] for n in range(res.shape[0]): w_arr = res[n,:] pos_res = self.pos_weighted(w_arr, train_pos) pos_tar = test_pos[n] se = sqrt(((pos_tar - pos_res) ** 2).sum()) / self.map_ratio RMSE.append(se) return RMSE def res_to_coord(self, res, train_pos, proba=False): # print res pos = [] for x_res in res: if proba: pos_res = self.pos_weighted(x_res, train_pos) else: pos_res = array(train_pos[x_res]) pos.append(pos_res) return pos
class AeonUtility(SDKUtility): """ Including Utility Functions for Aeon Usage DataStorage Content: self.wp_filepath = wp_filepath self.wifi_filepath = wifi_filepath self.wifi_list = wifi_list self.wp_pos = wp_pos self.wp_ind = wp_ind self.wifi_matrix = wifi_matrix """ def __init__(self): SDKUtility.__init__(self) self.loader = LoadWifiData() self.map_ratio = 1 def load_wifi(self, wp_path, wifi_path, ref_list=[]): if ref_list: wifi = self.loader.extract_with_ref(wp_path, wifi_path, ref_list) else: wifi = self.loader.extract(wp_path, wifi_path) return wifi def extract_aeon(self, wifi_path, ref_list): file_list = os.listdir(wifi_path) route = [] for fn in file_list: if 'journal' in fn: continue data = self.extract_wifi(os.path.join(wifi_path,fn), ref_list) route += data return route def accuracy(self, res, test_pos, train_pos): RMSE = [] for i,n in enumerate(res): pos_res = array(train_pos[n]); pos_tar = array(test_pos[i]); pos_diff = pos_res se = sqrt(((pos_tar - pos_diff) ** 2).sum()) / self.map_ratio RMSE.append(se) return RMSE def pos_weighted(self, w_arr, cls_pos): t_pos = zeros(array(cls_pos[0]).shape) for i, w in enumerate(w_arr): t_pos += array(cls_pos[i]) * w t_pos = t_pos / w_arr.sum() return t_pos def accuracy_proba(self, res, test_pos, train_pos): RMSE = [] for n in range(res.shape[0]): w_arr = res[n,:] pos_res = self.pos_weighted(w_arr, train_pos) pos_tar = test_pos[n] se = sqrt(((pos_tar - pos_res) ** 2).sum()) / self.map_ratio RMSE.append(se) return RMSE def res_to_coord(self, res, train_pos, proba=False): # print res pos = [] for x_res in res: if proba: pos_res = self.pos_weighted(x_res, train_pos) else: pos_res = array(train_pos[x_res]) pos.append(pos_res) return pos
