code: def __repr__(self):
      return "{}(in_features={}, num_trees={}, depth={}, tree_dim={}, flatten_output={})".format(
          self.__class__.__name__,
          self.feature_selection_logits.shape[0],
          self.num_trees,
          self.depth,
          self.tree_dim,
          self.flatten_output,
      )
  
imports: import random
  from typing import Callable
  from warnings import warn
  import numpy
  import torch
  import torch.nn
  from pytorch_tabular.utils import check_numpy
  from ..layers import ModuleWithInit
  from .activations import RSoftmax, entmax15, sparsemax, sparsemoid
label_desc: Use image node_id 4 for calling the ODST obj's underlying member method code with example usage: obj.__repr__() and returns: str