tfd_sample {tfprobability} | R Documentation |
Generate samples of the specified shape.
Description
Note that a call to tfd_sample()
without arguments will generate a single sample.
Usage
tfd_sample(distribution, sample_shape = list(), ...)
Arguments
distribution |
The distribution being used. |
sample_shape |
0D or 1D int32 Tensor. Shape of the generated samples. |
... |
Additional parameters passed to Python. |
Value
a Tensor with prepended dimensions sample_shape.
See Also
Other distribution_methods:
tfd_cdf()
,
tfd_covariance()
,
tfd_cross_entropy()
,
tfd_entropy()
,
tfd_kl_divergence()
,
tfd_log_cdf()
,
tfd_log_prob()
,
tfd_log_survival_function()
,
tfd_mean()
,
tfd_mode()
,
tfd_prob()
,
tfd_quantile()
,
tfd_stddev()
,
tfd_survival_function()
,
tfd_variance()
Examples
d <- tfd_normal(loc = c(1, 2), scale = c(1, 0.5))
d %>% tfd_sample()
[Package tfprobability version 0.15.1 Index]