| tfd_log_prob {tfprobability} | R Documentation |
Log probability density/mass function.
Description
Log probability density/mass function.
Usage
tfd_log_prob(distribution, value, ...)
Arguments
distribution |
The distribution being used. |
value |
float or double Tensor. |
... |
Additional parameters passed to Python. |
Value
a Tensor of shape sample_shape(x) + self$batch_shape with values of type self$dtype.
See Also
Other distribution_methods:
tfd_cdf(),
tfd_covariance(),
tfd_cross_entropy(),
tfd_entropy(),
tfd_kl_divergence(),
tfd_log_cdf(),
tfd_log_survival_function(),
tfd_mean(),
tfd_mode(),
tfd_prob(),
tfd_quantile(),
tfd_sample(),
tfd_stddev(),
tfd_survival_function(),
tfd_variance()
Examples
d <- tfd_normal(loc = c(1, 2), scale = c(1, 0.5))
x <- d %>% tfd_sample()
d %>% tfd_log_prob(x)
[Package tfprobability version 0.15.1 Index]