code: def RegressionBlock(
      n_out: int = None,  # Number of output values
  ):
      "`TransformBlock` for float targets"
      return TransformBlock(type_tfms=RegressionSetup(c=n_out))
  
imports: from __future__ import annotations
  from ..torch_basics import *
  from .core import *
  from .load import *
  from .external import *
  from .transforms import *
  from inspect import isfunction, ismethod
  from .load import _collate_types
label_desc: Use image node_id 3 for calling a global function with example usage: RegressionBlock(n_out) and returns: TransformBlock