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:
key (ArrayLike) – a PRNG key.
shape (Shape) – The shape of the returned samples. Default ().
dtype (DTypeLikeInt) – The type used for samples.
- Returns:
A jnp.array of samples, of shape shape. Each element in the output has a 50% change of being 1 or -1.
- Return type: