class_docstr: TimeSequence feature engineering
code: def unscale_uncertainty(self, y_uncertainty):
      y_uncertainty_unscale = np.zeros(y_uncertainty.shape)
      for i in range(len(self.target_col)):
          value_scale = self.scaler.scale_[i]
          if len(self.target_col) == 1:
              y_uncertainty_unscale = y_uncertainty * value_scale
          else:
              y_uncertainty_unscale[:, :, i] = (
                  y_uncertainty[:, :, i] * value_scale
              )
      return y_uncertainty_unscale
  
imports: from bigdl.chronos.autots.deprecated.feature.utils import save_config
  from bigdl.chronos.autots.deprecated.feature.abstract import BaseFeatureTransformer
  from bigdl.chronos.utils import deprecated
  import sklearn
  from sklearn.preprocessing import StandardScaler
  import pandas
  import numpy
  import json
  from packaging import version
label_desc: Use image node_id 7 for calling the TimeSequenceFeatureTransformer obj's underlying member method code with example usage: obj.unscale_uncertainty(y_uncertainty) and returns: y_uncertainty_unscale