class_docstr: Base Class for column ensemble.
class_docstr_tok: ["Base","Class","for","column","ensemble","."]
docstr: Predict class probabilities for X using 'soft' voting.
docstr_tok: ["Predict","class","probabilities","for","X","using","'soft","'","voting","."]
code: def _predict_proba(self, X) -> np.ndarray:
      """Predict class probabilities for X using 'soft' voting."""
      avg = np.average(self._collect_probas(X), axis=0)
      return avg
  
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 10 for calling the BaseColumnEnsembleClassifier obj's underlying member method code with example usage: obj._predict_proba(X) and returns: avg