Lines Matching refs:rate
43 The Exponential distribution is parameterized by an event `rate` parameter.
54 where `rate = lambda` and `Z` is the normalizaing constant.
60 Exponential(rate) = Gamma(concentration=1., rate)
63 The Exponential distribution uses a `rate` parameter, or "inverse scale",
67 X ~ Exponential(rate=1)
68 Y = X / rate
74 rate,
78 """Construct Exponential distribution with parameter `rate`.
81 rate: Floating point tensor, equivalent to `1 / mean`. Must contain only
98 with ops.name_scope(name, values=[rate]):
99 self._rate = ops.convert_to_tensor(rate, name="rate")
102 rate=self._rate,
114 return {"rate": ops.convert_to_tensor(sample_shape, dtype=dtypes.int32)}
117 def rate(self):
139 """Exponential with softplus transform on `rate`."""
142 rate,
147 with ops.name_scope(name, values=[rate]):
149 rate=nn.softplus(rate, name="softplus_rate"),
