class econml.inference.GenericModelFinalInference[source]

Bases: econml.inference._inference.Inference

Inference based on predict_interval of the model_final model. Assumes that estimator class has a model_final method, whose predict(cross_product(X, [0, …, 1, …, 0])) gives the const_marginal_effect of the treamtnent at the column with value 1 and which also supports prediction_stderr(X).




ate_inference([X, T0, T1])

ate_interval([X, T0, T1, alpha])


const_marginal_ate_interval([X, alpha])


const_marginal_effect_interval(X, *[, alpha])

fit(estimator, *args, **kwargs)

Fits the inference model.

marginal_ate_inference(T[, X])

marginal_ate_interval(T[, X, alpha])

prefit(estimator, *args, **kwargs)

Performs any necessary logic before the estimator's fit has been called.

fit(estimator, *args, **kwargs)[source]

Fits the inference model.

This is called after the estimator’s fit.

prefit(estimator, *args, **kwargs)[source]

Performs any necessary logic before the estimator’s fit has been called.