| __init__(self, df, loc=0., scale=1., validate_args=None) (defined in torch.distributions.studentT.StudentT) | torch.distributions.studentT.StudentT | |
| __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.studentT.StudentT) | torch.distributions.studentT.StudentT | 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) (defined in torch.distributions.studentT.StudentT) | torch.distributions.studentT.StudentT | |
| enumerate_support(self, expand=True) | torch.distributions.distribution.Distribution | |
| event_shape(self) | torch.distributions.distribution.Distribution | |
| expand(self, batch_shape, _instance=None) (defined in torch.distributions.studentT.StudentT) | torch.distributions.studentT.StudentT | |
| has_enumerate_support (defined in torch.distributions.distribution.Distribution) | torch.distributions.distribution.Distribution | static |
| has_rsample (defined in torch.distributions.studentT.StudentT) | torch.distributions.studentT.StudentT | static |
| icdf(self, value) | torch.distributions.distribution.Distribution | |
| log_prob(self, value) (defined in torch.distributions.studentT.StudentT) | torch.distributions.studentT.StudentT | |
| mean(self) (defined in torch.distributions.studentT.StudentT) | torch.distributions.studentT.StudentT | |
| perplexity(self) | torch.distributions.distribution.Distribution | |
| rsample(self, sample_shape=torch.Size()) (defined in torch.distributions.studentT.StudentT) | torch.distributions.studentT.StudentT | |
| sample(self, sample_shape=torch.Size()) | torch.distributions.distribution.Distribution | |
| sample_n(self, n) | torch.distributions.distribution.Distribution | |
| scale (defined in torch.distributions.studentT.StudentT) | torch.distributions.studentT.StudentT | |
| set_default_validate_args(value) (defined in torch.distributions.distribution.Distribution) | torch.distributions.distribution.Distribution | static |
| stddev(self) | torch.distributions.distribution.Distribution | |
| support (defined in torch.distributions.studentT.StudentT) | torch.distributions.studentT.StudentT | static |
| torch::distributions::distribution::Distribution.support(self) | torch.distributions.distribution.Distribution | |
| variance(self) (defined in torch.distributions.studentT.StudentT) | torch.distributions.studentT.StudentT | |