class_docstr: Super class for all numerical type hyperparameters.
docstr: Get the index-th value in the range given step.
docstr_tok: ["Get","the","index-th","value","in","the","range","given","step","."]
code: def _get_value_by_index(self, index):
      """Get the index-th value in the range given step."""
      if self.sampling == "linear":
          return self.min_value + index * self.step
      if self.sampling == "log":
          return self.min_value * math.pow(self.step, index)
      if self.sampling == "reverse_log":
          return (
              self.max_value
              + self.min_value
              - self.min_value * math.pow(self.step, index)
          )
  
file_path: keras-tuner/keras_tuner/engine/hyperparameters/hp_types/numerical.py
imports: import math
  from keras_tuner.engine.hyperparameters import hp_utils
  from keras_tuner.engine.hyperparameters import hyperparameter
label_desc: Use image node_id 6 for calling the Numerical obj's underlying member method code with example usage: obj._get_value_by_index(index) and returns: unknown, unknown, unknown