pyvene.data_generators.causal_model.CausalModel

class CausalModel(variables, values, parents, functions, timesteps=None, equiv_classes=None, pos={})

Bases: object

__init__(variables, values, parents, functions, timesteps=None, equiv_classes=None, pos={})

Methods

__init__(variables, values, parents, functions)
add_variable(variable, values, parents, ...)
find_live_paths(intervention)
generate_counterfactual_dataset(size, ...[, ...])
generate_equiv_classes()
generate_factual_dataset(size[, sampler, ...])
generate_timesteps()
get_partial_filter(partial_setting)
get_path_maxlen_filter(lengths)
get_specific_path_filter(start, end)
input_to_tensor(setting)
marginalize(target)
output_to_tensor(setting)
print_setting(total_setting[, font, node_size])
print_structure([pos, font, node_size])
run_forward([intervention])
run_interchange(input, source_interventions)
sample_input([mandatory])
sample_input_tree_balanced([output_var, ...])
sample_intervention([mandatory])