tf.random.poisson | TensorFlow v2.16.1 (original) (raw)
tf.random.poisson
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Draws shape samples from each of the given Poisson distribution(s).
tf.random.poisson(
shape,
lam,
dtype=tf.dtypes.float32,
seed=None,
name=None
)
lam is the rate parameter describing the distribution(s).
Example:
samples = tf.random.poisson([10], [0.5, 1.5])
# samples has shape [10, 2], where each slice [:, 0] and [:, 1] represents
# the samples drawn from each distribution
samples = tf.random.poisson([7, 5], [12.2, 3.3])
# samples has shape [7, 5, 2], where each slice [:, :, 0] and [:, :, 1]
# represents the 7x5 samples drawn from each of the two distributions
| Args | |
|---|---|
| shape | A 1-D integer Tensor or Python array. The shape of the output samples to be drawn per "rate"-parameterized distribution. |
| lam | A Tensor or Python value or N-D array of type dtype.lam provides the rate parameter(s) describing the poisson distribution(s) to sample. |
| dtype | The type of the output: float16, float32, float64, int32 orint64. |
| seed | A Python integer. Used to create a random seed for the distributions. Seetf.random.set_seedfor behavior. |
| name | Optional name for the operation. |
| Returns | |
|---|---|
| samples | a Tensor of shape tf.concat([shape, tf.shape(lam)], axis=0)with values of type dtype. |
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Last updated 2024-04-26 UTC.