class_docstr: The base class for initializing trainable weights of a layer 
  before the first training iteration.
class_docstr_tok: ["The","base","class","for","initializing","trainable","weights","of","a","layer","before","the","first","training","iteration","."]
code: def __init__(self, internal):
      if not isinstance(internal, PythonWrapper.Initializer):
          raise ValueError(
              "The `internal` must be PythonWrapper.Initializer"
          )
  
      self._internal = internal
  
file_path: neoml/NeoML/Python/neoml/Dnn/Initializer.py
imports: import neoml
  import neoml.PythonWrapper
  import neoml.Random
label_desc: Use image node_id 1 to create a new Initializer object  with example: obj = Initializer(internal)