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Author:
Noumenal
License:
MIT
Summary:
Generate fictional-but-coherent causal operations worlds (executable sim + ground-truth answer-key) from a natural-language description, for benchmarking causal-discovery agents.
Latest version:
0.48.0
Required dependencies:
numpy
|
pydantic
|
pydantic-settings
|
typer
Optional dependencies:
anthropic
|
causal-learn
|
dagma
|
gies
|
gymnasium
|
instructor
|
joblib
|
langfuse
|
lingam
|
statsmodels
|
tigramite
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