Generate samples of the specified shape.

Note that a call to tfd_sample() without arguments will generate a single sample.

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

# \donttest{
  d <- tfd_normal(loc = c(1, 2), scale = c(1, 0.5))
  d %>% tfd_sample()
#> tf.Tensor([1.2293875 1.8353437], shape=(2,), dtype=float32)
# }