__init__(self, total_count=1, probs=None, logits=None, validate_args=None) (defined in torch.distributions.binomial.Binomial) | torch.distributions.binomial.Binomial | |
__init__(self, batch_shape=torch.Size(), event_shape=torch.Size(), validate_args=None) (defined in torch.distributions.distribution.Distribution) | torch.distributions.distribution.Distribution | |
__repr__(self) (defined in torch.distributions.distribution.Distribution) | torch.distributions.distribution.Distribution | |
arg_constraints (defined in torch.distributions.binomial.Binomial) | torch.distributions.binomial.Binomial | static |
torch::distributions::distribution::Distribution.arg_constraints(self) | torch.distributions.distribution.Distribution | |
batch_shape(self) | torch.distributions.distribution.Distribution | |
cdf(self, value) | torch.distributions.distribution.Distribution | |
entropy(self) | torch.distributions.distribution.Distribution | |
enumerate_support(self, expand=True) (defined in torch.distributions.binomial.Binomial) | torch.distributions.binomial.Binomial | |
event_shape(self) | torch.distributions.distribution.Distribution | |
expand(self, batch_shape, _instance=None) (defined in torch.distributions.binomial.Binomial) | torch.distributions.binomial.Binomial | |
has_enumerate_support (defined in torch.distributions.binomial.Binomial) | torch.distributions.binomial.Binomial | static |
has_rsample (defined in torch.distributions.distribution.Distribution) | torch.distributions.distribution.Distribution | static |
icdf(self, value) | torch.distributions.distribution.Distribution | |
log_prob(self, value) (defined in torch.distributions.binomial.Binomial) | torch.distributions.binomial.Binomial | |
logits(self) (defined in torch.distributions.binomial.Binomial) | torch.distributions.binomial.Binomial | |
mean(self) (defined in torch.distributions.binomial.Binomial) | torch.distributions.binomial.Binomial | |
param_shape(self) (defined in torch.distributions.binomial.Binomial) | torch.distributions.binomial.Binomial | |
perplexity(self) | torch.distributions.distribution.Distribution | |
probs(self) (defined in torch.distributions.binomial.Binomial) | torch.distributions.binomial.Binomial | |
rsample(self, sample_shape=torch.Size()) | torch.distributions.distribution.Distribution | |
sample(self, sample_shape=torch.Size()) (defined in torch.distributions.binomial.Binomial) | torch.distributions.binomial.Binomial | |
sample_n(self, n) | torch.distributions.distribution.Distribution | |
set_default_validate_args(value) (defined in torch.distributions.distribution.Distribution) | torch.distributions.distribution.Distribution | static |
stddev(self) | torch.distributions.distribution.Distribution | |
support(self) (defined in torch.distributions.binomial.Binomial) | torch.distributions.binomial.Binomial | |
support (defined in torch.distributions.distribution.Distribution) | torch.distributions.distribution.Distribution | static |
total_count (defined in torch.distributions.binomial.Binomial) | torch.distributions.binomial.Binomial | |
variance(self) (defined in torch.distributions.binomial.Binomial) | torch.distributions.binomial.Binomial | |