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|
Draw samples from a Beta distribution.
tf.keras.random.beta(
shape, alpha, beta, dtype=None, seed=None
)
The values are drawm from a Beta distribution parametrized by alpha and beta.
Args | |
|---|---|
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, keras.config.floatx() is used,
which defaults to float32 unless you configured it otherwise (via
keras.config.set_floatx(float_dtype)).
|
seed
|
A Python integer or instance of
keras.random.SeedGenerator.
Used to make the behavior of the initializer
deterministic. Note that an initializer seeded with an integer
or None (unseeded) will produce the same random values
across multiple calls. To get different random values
across multiple calls, use as seed an instance
of keras.random.SeedGenerator.
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