tf.contrib.distributions.Exponential.__init__()

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

Construct Exponential distribution with parameter lam.

Args:

• lam: Floating point tensor, the rate of the distribution(s). lam must contain only positive values.
• validate_args: Boolean, default False. Whether to assert that lam > 0, and that x > 0 in the methods prob(x) and log_prob(x). If validate_args is False and the inputs are invalid, correct behavior is not guaranteed.
• 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: The name to prepend to all ops created by this distribution.