distribution

Distribution-based built-in policies.

Modules

bernoulli(*[, node_assets, edge_assets, ...])	Sample success or failure multipliers with a Bernoulli trial.
beta(*[, node_assets, edge_assets, ...])	Apply multiplicative beta noise to selected node and edge assets.
categorical(*[, node_assets, edge_assets, ...])	Apply multiplicative categorical noise to selected node and edge assets.
constant(*[, node_assets, edge_assets, ...])	Apply deterministic multiplicative factors to selected assets.
discrete(*[, node_assets, edge_assets, ...])	Sample numeric multipliers from weighted choices.
empirical(*[, node_assets, edge_assets, ...])	Sample multiplicative factors from observed values.
exponential(*[, node_assets, edge_assets, ...])	Sample exponential multiplicative factors from lambda rates.
gamma(*[, node_assets, edge_assets, ...])	Apply multiplicative gamma noise to selected node and edge assets.
lognormal(*[, node_assets, edge_assets, ...])	Apply multiplicative lognormal noise to selected node and edge assets.
normal(*[, node_assets, edge_assets, ...])	Apply multiplicative Gaussian noise to selected node and edge assets.
pareto(*[, node_assets, edge_assets, ...])	Sample Pareto multiplicative factors.
poisson(*[, node_assets, edge_assets, ...])	Sample Poisson multiplicative factors without NumPy.
triangular(*[, node_assets, edge_assets, ...])	Apply multiplicative triangular noise to selected node and edge assets.
truncated_normal(*[, node_assets, ...])	Apply multiplicative truncated-normal noise to selected assets.
uniform(*[, node_assets, edge_assets, ...])	Apply multiplicative uniform noise to selected node and edge assets.
weibull(*[, node_assets, edge_assets, ...])	Sample Weibull multiplicative factors.