Questions tagged [out-of-distribution]

I'm working on a classification task where I have data from a certain company for years between 2017 and 2020. Trying to train different models (Random Forest, XgBoost, LightGBM, Catboost, Explainable Boosting Machines) on separate data with one…

In a Bayesian neural network (for classification) the posterior predictive distribution is $$ P(y=c \mid {\bf x}, \mathcal D_{train}) = \int P(y=c \mid {\bf x}, \theta) p(\theta \mid \mathcal D_{train}) d\theta $$ Let's assume that we have enough…

Out of distribution and shifting data distribution are two types of dataset shift 1, I can understand what out-of-distribution means but not what shifting data distributions are. In that blog an example of OOD is given as follow: For example,…