class_docstr: Use this for floating-point values.
  
  Arguments:
      default (float): default value of the hyperparameter
  
      range_ (Tuple[float, float]): the value range for the hyperparameter
class_docstr_tok: ["Use","this","for","floating-point","values",".","Arguments",":","default","(","float",")",":","default","value","of","the","hyperparameter","range_","(","Tuple","[","float",",","float","]",")",":","the","value","range","for","the","hyperparameter"]
code: def __init__(
      self, default: float, range_: Tuple[float, float] = (0, 1)
  ):
      super().__init__(default, "float", range_)
  
file_path: labml/client/labml/internal/configs/dynamic_hyperparam.py
imports: import warnings
  from typing import Tuple, Union
  from labml.logger import Text
  from labml import tracker, logger
label_desc: Use image node_id 1 to create a new FloatDynamicHyperParam object from inherited base classes: DynamicHyperParam with example: obj = FloatDynamicHyperParam(default, range_)