description: Outputs random values from the Poisson distribution(s) described by rate.
robots: noindex
Outputs random values from the Poisson distribution(s) described by rate.
tf.raw_ops.RandomPoissonV2(
shape, rate, seed=0, seed2=0, dtype=tf.dtypes.int64, name=None
)
This op uses two algorithms, depending on rate. If rate >= 10, then the algorithm by Hormann is used to acquire samples via transformation-rejection. See http://www.sciencedirect.com/science/article/pii/0167668793909974.
Otherwise, Knuth's algorithm is used to acquire samples via multiplying uniform random variables. See Donald E. Knuth (1969). Seminumerical Algorithms. The Art of Computer Programming, Volume 2. Addison Wesley
Args | |
|---|---|
shape
|
A Tensor. Must be one of the following types: int32, int64.
1-D integer tensor. Shape of independent samples to draw from each
distribution described by the shape parameters given in rate.
|
rate
|
A Tensor. Must be one of the following types: half, float32, float64, int32, int64.
A tensor in which each scalar is a "rate" parameter describing the
associated poisson distribution.
|
seed
|
An optional int. Defaults to 0.
If either seed or seed2 are set to be non-zero, the random number
generator is seeded by the given seed. Otherwise, it is seeded by a
random seed.
|
seed2
|
An optional int. Defaults to 0.
A second seed to avoid seed collision.
|
dtype
|
An optional tf.DType from: tf.half, tf.float32, tf.float64, tf.int32, tf.int64. Defaults to tf.int64.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor of type dtype.
|