class_docstr: Base Class for column ensemble.
class_docstr_tok: ["Base","Class","for","column","ensemble","."]
code: def _collect_probas(self, X):
      return np.asarray(
          [
              estimator.predict_proba(_get_column(X, column))
              for (name, estimator, column) in self._iter(
                  replace_strings=True
              )
          ]
      )
  
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 9 for calling the BaseColumnEnsembleClassifier obj's underlying member method code with example usage: obj._collect_probas(X) and returns: np