Iscores - Proper Scoring Rules for Missing Value Imputation
Implementation of a KL-based scoring rule to assess the quality of different missing value imputations in the broad sense as introduced in Michel et al. (2021) <arXiv:2106.03742>.
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imputation-methodsmachine-learningmissing-valuesrandom-forest
3.62 score 7 stars 12 scripts 210 downloadsdrf - Distributional Random Forests
An implementation of distributional random forests as introduced in Cevid & Michel & Naf & Meinshausen & Buhlmann (2022) <doi:10.48550/arXiv.2005.14458>.
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cpp
3.10 score 2 dependents 70 scripts 336 downloadsHPLB - High-Probability Lower Bounds for the Total Variance Distance
An implementation of high-probability lower bounds for the total variance distance as introduced in Michel & Naef & Meinshausen (2020) <arXiv:2005.06006>. An estimated lower-bound (with high-probability) on the total variation distance between two probability distributions from which samples are observed can be obtained with the function HPLB.
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classificationmachine-learningtwo-sample-test
2.70 score 1 stars 6 scripts 178 downloads