code: def _fit_transform_scaler(self, data: InputData):
      f = data.features.copy()
      t = data.target.copy()
      self.mu = np.mean(f)
      self.std = np.std(f)
      f_scaled = self._scale(f)
      t_scaled = self._scale(t)
      return f_scaled, t_scaled
  
imports: import numpy
  from golem.utilities.requirements_notificator import warn_requirement
  from fedot.core.data.data import InputData
  from fedot.core.operations.evaluation.operation_implementations.implementation_interfaces import ModelImplementation
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.core.repository.dataset_types import DataTypesEnum
label_desc: Use image node_id 10 for calling the CGRUImplementation obj's underlying member method code with example usage: obj._fit_transform_scaler(data) and returns: f_scaled,  t_scaled