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How to use the causallib.simulation.CausalSimulator3.CausalSimulator3 function in causallib

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github IBM / causallib / causallib / simulation / CausalSimulator3.py View on Github external
                         "quantile_gauss_fit": lambda x, p, snr, params: CausalSimulator3._treatment_quantile_gauss_fit(
                             x, p, snr),
                         "logistic": lambda x, p, snr, params: CausalSimulator3._treatment_logistic_dichotomous(x, p,
github IBM / causallib / causallib / simulation / CausalSimulator3.py View on Github external
    TREATMENT_METHODS = {"random": lambda x, p, snr, params: CausalSimulator3._treatment_random(x, p),
                         "odds_ratio": lambda x, p, snr, params: CausalSimulator3._treatment_odds_ratio(x, p, snr),
github IBM / causallib / causallib / simulation / CausalSimulator3.py View on Github external
                         "gaussian": lambda x, p, snr, params: CausalSimulator3._treatment_gaussian_dichotomous(x, p,
                                                                                                                snr)}
    # G for general - applicable to all types of variables

causallib

A Python package for flexible and modular causal inference modeling

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Apache-2.0
Latest version published 5 months ago

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