class_docstr: A `TrackerCallback` that reduces learning rate when a metric has stopped improving.
class_docstr_tok: ["A","`","TrackerCallback","`","that","reduces","learning","rate","when","a","metric","has","stopped","improving","."]
code: def before_fit(self):
      self.wait = 0
      super().before_fit()
  
imports: from __future__ import annotations
  from ..basics import *
  from .progress import *
  from .fp16 import MixedPrecision
label_desc: Use image node_id 2 for calling the ReduceLROnPlateau obj's underlying member method code with example usage: obj.before_fit() without return types