random_gamma: Draw random samples from the Gamma distribution.

In rstudio/keras: R Interface to 'Keras'

Draw random samples from the Gamma distribution.

Description

Draw random samples from the Gamma distribution.

Usage

random_gamma(shape, alpha, dtype = NULL, seed = NULL)

Arguments

shape	The shape of the random values to generate.
alpha	Float, the parameter of the distribution.
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 R 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_beta()
random_binomial()
random_categorical()
random_dropout()
random_integer()
random_normal()
random_seed_generator()
random_shuffle()
random_truncated_normal()
random_uniform()

rstudio/keras documentation built on April 27, 2024, 10:11 p.m.