tf.contrib.distributions.Poisson.__init__()

tf.contrib.distributions.Poisson.__init__(lam, validate_args=False, allow_nan_stats=True, name='Poisson')

Construct Poisson distributions.

Args:

• lam: Floating point tensor, the rate parameter of the distribution(s). lam must be positive.
• validate_args: Boolean, default False. Whether to assert that lam > 0 as well as inputs to pmf computations are non-negative integers. If validate_args is False, then pmf computations might return NaN, but can be evaluated at any real value.
• allow_nan_stats: Boolean, default True. If False, raise an exception if a statistic (e.g. mean/mode/etc...) is undefined for any batch member. If True, batch members with valid parameters leading to undefined statistics will return NaN for this statistic.
• name: A name for this distribution.