Creates a Bernoulli distribution parameterized by probs or logits (but not both). Samples are binary (0 or 1). They take the value 1 with probability p and 0 with probability 1 - p.
Creates a Bernoulli distribution parameterized by probs
or logits (but not both).
Samples are binary (0 or 1). They take the value 1 with probability p
and 0 with probability 1 - p.
distr_bernoulli(probs = NULL, logits = NULL, validate_args = NULL)
probs |
(numeric or torch_tensor): the probability of sampling |
logits |
(numeric or torch_tensor): the log-odds of sampling |
validate_args |
whether to validate arguments or not. |
Distribution for details on the available methods.
Other distributions:
distr_chi2(),
distr_gamma(),
distr_normal(),
distr_poisson()
if (torch_is_installed()) {
m <- distr_bernoulli(0.3)
m$sample() # 30% chance 1; 70% chance 0
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.