Download
ConformalPrediction.jl is a package for Predictive Uncertainty Quantification (UQ) through Conformal Prediction (CP) in Julia. It is designed to work with supervised models trained in MLJ (Blaom et al. 2020). Conformal Prediction is easy-to-understand, easy-to-use and model-agnostic and it works under minimal distributional assumptions. Intuitively, CP works under the premise of turning heuristic notions of uncertainty into rigorous uncertainty estimates through repeated sampling or the use of dedicated calibration data.
Features
- Examples available
- Documentation available
- Package for Predictive Uncertainty Quantification (UQ) through Conformal Prediction (CP) in Julia
- Licensed under the MIT License
- Intuitively, CP works under the premise of turning heuristic notions of uncertainty into rigorous uncertainty estimates
- Repeated sampling and dedicated calibration data
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow ConformalPrediction.jl
Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime
Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of ConformalPrediction.jl!
