class_docstr: Base Class for column ensemble.
class_docstr_tok: ["Base","Class","for","column","ensemble","."]
docstr: Convert callable column specifications.
docstr_tok: ["Convert","callable","column","specifications","."]
code: def _validate_column_callables(self, X):
      """Convert callable column specifications."""
      columns = []
      for _, _, column in self.estimators:
          if callable(column):
              column = column(X)
          columns.append(column)
      self._columns = columns
  
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 5 for calling the BaseColumnEnsembleClassifier obj's underlying member method code with example usage: obj._validate_column_callables(X) without return types