def _get_param(self):
min_max_scale_param_dict = {}
if self.header:
for i, header in enumerate(self.header):
if i in self.scale_column_idx:
param_obj = ColumnScaleParam(column_upper=self.column_max_value[i],
column_lower=self.column_min_value[i])
min_max_scale_param_dict[header] = param_obj
param_proto_obj = ScaleParam(col_scale_param=min_max_scale_param_dict,
header=self.header)
return param_proto_obj
def __get_param(self):
column_scale_param_dict = {}
if self.header:
for i, header in enumerate(self.header):
if i in self.scale_column_idx:
param_obj = ColumnScaleParam(
column_upper=np.round(self.column_max_value[i],
self.round_num),
column_lower=np.round(self.column_min_value[i],
self.round_num),
mean=np.round(self.mean[i], self.round_num),
std=np.round(self.std[i], self.round_num))
column_scale_param_dict[header] = param_obj
param_proto_obj = ScaleParam(col_scale_param=column_scale_param_dict,
header=self.header)
return param_proto_obj