class_docstr: Base class for forests of trees.
docstr: Abstract method that is implemented by concrete estimators.
docstr_tok: ["Abstract","method","that","is","implemented","by","concrete","estimators","."]
code: def apply(self, X):
      """Abstract method that is implemented by concrete estimators."""
      raise NotImplementedError()
  
imports: from abc import abstractmethod
  from warnings import catch_warnings, simplefilter
  import numpy
  import pandas
  from joblib import Parallel, delayed
  from numpy import float64
  from sklearn.base import clone
  from sklearn.ensemble._forest import MAX_INT, BaseForest, _generate_sample_indices, _get_n_samples_bootstrap
  from sklearn.exceptions import DataConversionWarning
  from sklearn.utils import check_array, check_random_state, compute_sample_weight
  from sktime.transformations.panel.summarize import RandomIntervalFeatureExtractor
  from sktime.utils.random_state import set_random_state
  from sktime.utils.warnings import warn
label_desc: Use image node_id 4 for calling the BaseTimeSeriesForest obj's underlying member method code with example usage: obj.apply(X) without return types