class_docstr: Time Sequence Model integrates feature transformation model selection for time series
  forecasting.
  It has similar functionality with the TimeSequencePipeline.
  Note that to be compatible with load_ts_pipeline in TimeSequencePipeline,
  TimeSequenceModel should be able to restore with TimeSequenceModel().restore(checkpoint).
  TimeSequenceModel could be optimized if we deprecate load_ts_pipeline
   in future version.
class_docstr_tok: ["Time","Sequence","Model","integrates","feature","transformation","model","selection","for","time","series","forecasting",".","It","has","similar","functionality","with","the","TimeSequencePipeline",".","Note","that","to","be","compatible","with","load_ts_pipeline","in","TimeSequencePipeline",",","TimeSequenceModel","should","be","able","to","restore","with","TimeSequenceModel","(",")",".restore","(","checkpoint",")",".","TimeSequenceModel","could","be","optimized","if","we","deprecate","load_ts_pipeline","in","future","version","."]
code: def create(
      cls,
      dt_col,
      target_cols,
      future_seq_len=1,
      extra_features_col=None,
      drop_missing=True,
      add_dt_features=True,
  ):
      ft = TimeSequenceFeatureTransformer(
          future_seq_len=future_seq_len,
          dt_col=dt_col,
          target_col=target_cols,
          extra_features_col=extra_features_col,
          drop_missing=drop_missing,
          time_features=add_dt_features,
      )
      return cls(feature_transformer=ft)
  
imports: from copy import deepcopy
  from bigdl.orca.automl.model.abstract import BaseModel, ModelBuilder
  from bigdl.chronos.model.tf1.VanillaLSTM_keras import VanillaLSTM
  from bigdl.chronos.model.tf1.Seq2Seq_keras import LSTMSeq2Seq
  from bigdl.chronos.model.tf1.MTNet_keras import MTNetKeras
  from bigdl.chronos.autots.deprecated.feature.utils import save_config
  from bigdl.chronos.autots.deprecated.feature.time_sequence import TimeSequenceFeatureTransformer
  from bigdl.chronos.autots.deprecated.preprocessing.impute import LastFillImpute, FillZeroImpute
  from bigdl.chronos.utils import deprecated
  from bigdl.orca.automl.metrics import Evaluator
  import pandas
  import os
  import tempfile
  import shutil
  import zipfile
  import json
label_desc: Use image node_id 2 for calling the TimeSequenceModel obj's underlying member method code with example usage: obj.create(cls, dt_col, target_cols, future_seq_len, extra_features_col, drop_missing, add_dt_features) and returns: cls