docstr: Remove those duplicated records which has exactly the same values in each feature_col
  for each multivariate timeseries distinguished by id_col.
  
  :return: the tsdataset instance.
docstr_tok: ["Remove","those","duplicated","records","which","has","exactly","the","same","values","in","each","feature_col","for","each","multivariate","timeseries","distinguished","by","id_col",".",":","return",":","the","tsdataset","instance","."]
code: def deduplicate(self):
      """
      Remove those duplicated records which has exactly the same values in each feature_col
      for each multivariate timeseries distinguished by id_col.
  
      :return: the tsdataset instance.
      """
      self.df = deduplicate_timeseries_dataframe(
          df=self.df, dt_col=self.dt_col
      )
      return self
  
imports: import pandas
  import numpy
  import functools
  import logging
  from bigdl.chronos.data.utils.feature import generate_dt_features, generate_global_features
  from bigdl.chronos.data.utils.impute import impute_timeseries_dataframe
  from bigdl.chronos.data.utils.deduplicate import deduplicate_timeseries_dataframe
  from bigdl.chronos.data.utils.roll import roll_timeseries_dataframe
  from bigdl.chronos.data.utils.time_feature import time_features, gen_time_enc_arr
  from bigdl.chronos.data.utils.scale import unscale_timeseries_numpy, scale_timeseries_numpy
  from bigdl.chronos.data.utils.resample import resample_timeseries_dataframe
  from bigdl.chronos.data.utils.split import split_timeseries_dataframe
  from bigdl.chronos.data.utils.cycle_detection import cycle_length_est
  from bigdl.chronos.data.utils.quality_inspection import quality_check_timeseries_dataframe, _abnormal_value_repair
  from bigdl.chronos.data.utils.utils import _to_list, _check_type, _check_col_within, _check_col_no_na, _check_is_aligned, _check_dt_is_sorted
label_desc: Use image node_id 6 for calling the TSDataset obj's underlying member method code with example usage: obj.deduplicate() and returns: self