Glossary term
Glossary term
Foundations
A regression model that uses not only the weights for each feature, but also the uncertainty of those weights. A probabilistic regression model generates a prediction and the uncertainty of that prediction. For example, a probabilistic regression model might yield a prediction of 325 with a standard deviation of 12. For more information about probabilistic regression models, see this Colab on tensorflow.org.
Created for this library
A retail demand team uses a probabilistic regression model to produce calibrated quantiles for inventory planning, not just point forecasts.
A logistics team uses a probabilistic regression model to predict delivery time distributions so service-level commitments use percentiles.
A finance team uses a probabilistic regression model to estimate ranges for next-quarter sales by region.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License