View source on GitHub |
Draw samples from a Binomial distribution.
tf.keras.random.binomial(
shape, counts, probabilities, dtype=None, seed=None
)
The values are drawn from a Binomial distribution with specified trial count and probability of success.
Args | |
---|---|
shape
|
The shape of the random values to generate. |
counts
|
A number or array of numbers representing the
number of trials. It must be broadcastable with probabilities .
|
probabilities
|
A float or array of floats representing the
probability of success of an individual event.
It must be broadcastable with counts .
|
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 .
|