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(), ...)
distribution |
The distribution being used. |
sample_shape |
0D or 1D int32 Tensor. Shape of the generated samples. |
... |
Additional parameters passed to Python. |
a Tensor with prepended dimensions sample_shape.
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()
d <- tfd_normal(loc = c(1, 2), scale = c(1, 0.5)) d %>% tfd_sample()
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