Model-agnostic prediction intervals in Python and R: does nnetsauce’s `QuantileRegressor` hold up?
Point predictions tell you what a model *thinks* will happen. They don't tell you how much to trust that number. nnetsauce's `QuantileRegressor` takes any sklearn-compatible regressor and turns it into a full quantile machine by optimizing an offset around its point predictions to minimize the pinball (quantile) loss. Continue reading: Model-agnostic prediction intervals in Python and R: does nnetsauce’s `QuantileRegressor` hold up?
The skinny
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