code: def _predict_single_classifier_proba(X, estimator, intervals):
      """Find probability estimates for each class for all cases in X."""
      Xt = _transform(X, intervals)
      return estimator.predict_proba(Xt)
  
imports: from typing import Optional
  import numpy
  import pandas
  from joblib import Parallel, delayed
  from sklearn.ensemble._forest import ForestClassifier
  from sklearn.tree import DecisionTreeClassifier
  from sktime.classification.base import BaseClassifier
  from sktime.series_as_features.base.estimators.interval_based import BaseTimeSeriesForest
  from sktime.series_as_features.base.estimators.interval_based._tsf import _transform
label_desc: Use image node_id 1 for calling a global function with example usage: _predict_single_classifier_proba(X, estimator, intervals) and returns: estimator