class_docstr: Base Class for column ensemble.
class_docstr_tok: ["Base","Class","for","column","ensemble","."]
code: def __init__(self, estimators, verbose=False):
      self.verbose = verbose
      self.estimators = estimators
      self.remainder = "drop"
      super().__init__()
      self._anytagis_then_set(
          "capability:unequal_length", False, True, self._estimators
      )
      self._anytagis_then_set(
          "capability:missing_values", False, True, self._estimators
      )
  
imports: from itertools import chain
  import numpy
  import pandas
  from sklearn.preprocessing import LabelEncoder
  from sktime.base import _HeterogenousMetaEstimator
  from sktime.classification.base import BaseClassifier
label_desc: Use image node_id 1 to create a new BaseColumnEnsembleClassifier object from inherited base classes: _HeterogenousMetaEstimator, BaseClassifier with example: obj = BaseColumnEnsembleClassifier(estimators, verbose)