loss_absolute_error: Absolute error loss function

In jrgant/FluHospPrediction: Code for Flu Hospital Prediction Paper

Absolute error loss function

Description

The function calculates the L_1 absolute error loss as L(O, \bar{Q}) = \| Y - \bar{Q}(A,W) \|.

Usage

loss_absolute_error(pred, observed)

Arguments

pred	Predicted outcomes from a fit model or ensemble learner.
observed	Observed outcomes.

References

Polley EC, Rose S, van der Laan MJ. Super Learning. In: van der Laan MJ, Rose S, eds. Targeted Learning: Causal Inference for Observational and Experimental Data. New York, NY: Springer New York; 2011:43–66. https://doi.org/10.1007/978-1-4419-9782-1_3

jrgant/FluHospPrediction documentation built on May 7, 2023, 10:40 a.m.