docstr: Fit pipeline with fixed configs. The model will be trained from initialization
  with the hyper-parameter specified in configs. The configs contain both identity configs
  (Eg. "future_seq_len", "dt_col", "target_col", "metric") and automl tunable configs
  (Eg. "past_seq_len", "batch_size").
  We recommend calling get_default_configs to see the name and default values of configs you
  you can specify.
  :param input_df: one data frame or a list of data frames
  :param validation_df: one data frame or a list of data frames
  :param user_configs: you can overwrite or add more configs with user_configs. Eg. "epochs"
  :return:
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code: def fit_with_fixed_configs(
      self, input_df, validation_df=None, mc=False, **user_configs
  ):
      """
      Fit pipeline with fixed configs. The model will be trained from initialization
      with the hyper-parameter specified in configs. The configs contain both identity configs
      (Eg. "future_seq_len", "dt_col", "target_col", "metric") and automl tunable configs
      (Eg. "past_seq_len", "batch_size").
      We recommend calling get_default_configs to see the name and default values of configs you
      you can specify.
      :param input_df: one data frame or a list of data frames
      :param validation_df: one data frame or a list of data frames
      :param user_configs: you can overwrite or add more configs with user_configs. Eg. "epochs"
      :return:
      """
      # self._check_configs()
      config = self.config.copy()
      config.update(user_configs)
  
      self.model.setup(config)
      self.model.fit_eval(
          data=input_df,
          validation_data=validation_df,
          mc=mc,
          verbose=1,
          **config,
      )
  
file_path: analytics-zoo/pyzoo/zoo/chronos/autots/deprecated/pipeline/time_sequence.py
imports: import os
  import time
  from zoo.chronos.autots.deprecated.feature.utils import save_config
  from zoo.chronos.autots.deprecated.pipeline.base import Pipeline
  from zoo.chronos.autots.deprecated.model.time_sequence import TimeSequenceModel
  from zoo.chronos.autots.deprecated.pipeline.parameters import DEFAULT_CONFIG_DIR, DEFAULT_PPL_DIR
  from zoo.chronos.utils import deprecated
label_desc: Use image node_id 4 for calling the TimeSequencePipeline obj's underlying member method code with example usage: obj.fit_with_fixed_configs(input_df, validation_df, mc) without return types