Examples#
In this section we show some examples of how to use Fortuna in classification and regression tasks.
- Adaptive conformal inference under distribution shift
- Modelling and training
- Bring in your own objects
- Time series regression with EnbPI, a conformal prediction method
- Jackknife+, Jackknife-minmax and CV+
- Jackknife+ and jackknife-minmax
- MNIST Classification
- Batch Multivalid Conformal Prediction (BatchMVP)
- Batch MVP
- Sinusoidal regression
- Two-moons Classification
- Two-moons Classification: Improved uncertainty quantification
- How to calibrate sub-networks of pre-trained models
- Bayesian Inference at Scale
- MNIST Classification with Stochastic Gradient Hamiltonian Monte Carlo (SGHMC)
- Stochastic Gradient Markov chain Monte Carlo (SG-MCMC) disagnostics
- Sentiment analysis