8000 Interventional samples gives inconsistent results. · Issue #1307 · py-why/dowhy · GitHub
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Interventional samples gives inconsistent results. #1307
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@PMK1991

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@PMK1991

@bloebp I am using interventional samples to estimate the effect of Intervention. When I run the below code, I do not get consitent results for any particular instance. This affects reproducibility. How do I make this reproducible for the same data?

from dowhy import gcm
causal_model = gcm.InvertibleStructuralCausalModel(G)
gcm.auto.assign_causal_mechanisms(causal_model, df_cvd,gcm.auto.AssignmentQuality.BETTER)
gcm.fit(causal_model, df_cvd)
cf_samples = gcm.interventional_samples(causal_model, intervention_dict, observed_data=X_high_risk_tp)

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