# Probabilistic Regression

In *probabilistic regression* problems, the label space `⚠ $\mathbf{Y}$`

is the set of real numbers, `⚠ $\mathbf{Y}=\mathbb{R}$`

, and Forecaster is required to output a probability measure on `⚠ $\mathbf{Y}$`

. The probability measure may be represented as its distribution function. An example of a forecasting strategy for such problems is conformal predictive systems.