hierarchical data generation for causal discovery and abstraction
Project description
ProblemSetApproximateCausalDiscovery
from causalspyne import gen_partially_observed
gen_partially_observed(size_micro_node_dag=4,
num_macro_nodes=4,
degree=2, # average vertex/node degree
list_confounder2hide=[0.5, 0.9], # choie of confounder to hide: percentile or index of all toplogically sorted confounders
num_sample=200)
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