class_docstr: Compute the reflection of a vector across a hyperplane.
  
  The reflection of x across the hyperplane with unit normal vector `v`
  (the `reflection_axis`) is `x - 2 * <x, v> * v`.
  
  
  #### Examples
  
  ```python
  householder = tfp.bijectors.Householder(reflection_axis = [-0.8, 0.6])
  x = [1.0, 0.0]
  householder.forward(x)  # [-0.28, 0.96]
  ```
  
  **Note:** The norm of `reflection_axis` should be 1. If the norm
  is less than 1e-6, results may not be accurate.
code: def reflection_axis(self):
      return self._reflection_axis
  
file_path: probability/tensorflow_probability/python/bijectors/householder.py
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.bijectors import scale_matvec_linear_operator
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import tensor_util
label_desc: Use image node_id 3 for calling the Householder obj's underlying member method code with example usage: obj.reflection_axis() and returns: self