Draw samples from a Beta distribution.

The values are drawm from a Beta distribution parametrized by alpha and beta.

Usage

random_beta(shape, alpha, beta, dtype = NULL, seed = NULL)

Arguments

shape

The shape of the random values to generate.

alpha

Float or an array of floats representing the first parameter alpha. Must be broadcastable with beta and shape.

beta

Float or an array of floats representing the second parameter beta. Must be broadcastable with alpha and shape.

dtype

Optional dtype of the tensor. Only floating point types are supported. If not specified, config_floatx() is used, which defaults to "float32" unless you configured it otherwise (via config_set_floatx(float_dtype)).

seed

An integer or instance of random_seed_generator(). Used to make the behavior of the initializer deterministic. Note that an initializer seeded with an integer or NULL (unseeded) will produce the same random values across multiple calls. To get different random values across multiple calls, use as seed an instance of random_seed_generator().

Value

A tensor of random values.

See also

Other random:
random_binomial()
random_categorical()
random_dropout()
random_gamma()
random_integer()
random_normal()
random_seed_generator()
random_shuffle()
random_truncated_normal()
random_uniform()