docstr: Unscale the time series forecaster's numpy prediction result/ground truth.
  
  :param data: a numpy ndarray with 3 dim whose shape should be exactly the
         same with self.numpy_y.
  
  :return: the unscaled numpy ndarray.
docstr_tok: ["Unscale","the","time","series","forecaster","'s","numpy","prediction","result\/ground","truth",".",":","param","data",":","a","numpy","ndarray","with","3","dim","whose","shape","should","be","exactly","the","same","with","self.numpy_y",".",":","return",":","the","unscaled","numpy","ndarray","."]
code: def unscale_numpy(self, data):
      """
      Unscale the time series forecaster's numpy prediction result/ground truth.
  
      :param data: a numpy ndarray with 3 dim whose shape should be exactly the
             same with self.numpy_y.
  
      :return: the unscaled numpy ndarray.
      """
      return unscale_timeseries_numpy(
          data, self.scaler, self.scaler_index
      )
  
imports: import pandas
  import numpy
  import functools
  from zoo.chronos.data.utils.feature import generate_dt_features, generate_global_features
  from zoo.chronos.data.utils.impute import impute_timeseries_dataframe
  from zoo.chronos.data.utils.deduplicate import deduplicate_timeseries_dataframe
  from zoo.chronos.data.utils.roll import roll_timeseries_dataframe
  from zoo.chronos.data.utils.scale import unscale_timeseries_numpy
  from zoo.chronos.data.utils.resample import resample_timeseries_dataframe
  from zoo.chronos.data.utils.split import split_timeseries_dataframe
  from zoo.chronos.data.utils.utils import _to_list, _check_type, _check_col_within, _check_col_no_na, _check_is_aligned, _check_dt_is_sorted
  from tsfresh.utilities.dataframe_functions import roll_time_series
  from tsfresh.utilities.dataframe_functions import impute
  from tsfresh import extract_features
  from tsfresh.feature_extraction import ComprehensiveFCParameters, MinimalFCParameters, EfficientFCParameters
label_desc: Use image node_id 16 for calling the TSDataset obj's underlying member method code with example usage: obj.unscale_numpy(data) and returns: unscale_timeseries_numpy