code: def _sl_init_pred(y_pred, X):
      """Aux. function to SlidingEstimator to initialize y_pred."""
      n_sample, n_tasks = X.shape[0], X.shape[-1]
      y_pred = np.zeros(
          (n_sample, n_tasks) + y_pred.shape[1:], y_pred.dtype
      )
      return y_pred
  
imports: import logging
  import numpy
  from ..fixes import _get_check_scoring
  from ..parallel import parallel_func
  from ..utils import ProgressBar, _parse_verbose, array_split_idx, fill_doc, verbose
  from .base import BaseEstimator, _check_estimator
  from .mixin import TransformerMixin
label_desc: Use image node_id 3 for calling a global function with example usage: _sl_init_pred(y_pred, X) and returns: y_pred