code: def _predict_stack(part, estimators):
      # predict for a batch of estimators and stack up the results.
      batches = [estimator.predict(part) for estimator in estimators]
      return np.vstack(batches).T
  
imports: import dask
  import dask.array
  import dask.dataframe
  import numpy
  import sklearn.base
  from sklearn.utils.validation import check_is_fitted
  from ..base import ClassifierMixin, RegressorMixin
  from ..utils import check_array
label_desc: Use image node_id 5 for calling a global function with example usage: _predict_stack(part, estimators) and returns: np