class_docstr: Tests the correctness of the Y = g(X) = X / (1 + |X|) transformation.
class_docstr_tok: ["Tests","the","correctness","of","the","Y","=","g","(","X",")","=","X","\/","(","1","+","|X|",")","transformation","."]
code: def _softsign(self, x):
      return x / (1.0 + np.abs(x))
  
file_path: probability/tensorflow_probability/python/bijectors/softsign_test.py
imports: import numpy
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import softsign
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling the SoftsignBijectorTest obj's underlying member method code with example usage: obj._softsign(x) and returns: unknown