jax.random.rademacher#
- jax.random.rademacher(key, shape, dtype=<class 'int'>)[source]#
Sample from a Rademacher distribution.
The values are distributed according to the probability mass function:
\[f(k) = \frac{1}{2}(\delta(k - 1) + \delta(k + 1))\]on the domain \(k \in \{-1, 1}\), where delta(x) is the dirac delta function.
- Parameters
- Return type
- Returns
A jnp.array of samples, of shape shape. Each element in the output has a 50% change of being 1 or -1.