Showing 3 of total 3 results (show query)
modeloriented
auditor:Model Audit - Verification, Validation, and Error Analysis
Provides an easy to use unified interface for creating validation plots for any model. The 'auditor' helps to avoid repetitive work consisting of writing code needed to create residual plots. This visualizations allow to asses and compare the goodness of fit, performance, and similarity of models.
Maintained by Alicja Gosiewska. Last updated 1 years ago.
classificationerror-analysisexplainable-artificial-intelligencemachine-learningmodel-validationregression-modelsresidualsxai
58 stars 8.76 score 94 scripts 2 dependents
vathymut
dsos:Dataset Shift with Outlier Scores
Test for no adverse shift in two-sample comparison when we have a training set, the reference distribution, and a test set. The approach is flexible and relies on a robust and powerful test statistic, the weighted AUC. Technical details are in Kamulete, V. M. (2021) <arXiv:1908.04000>. Modern notions of outlyingness such as trust scores and prediction uncertainty can be used as the underlying scores for example.
Maintained by Vathy M. Kamulete. Last updated 2 years ago.
data-driftdata-validationdataset-shiftsdrift-detectionmachine-learningmlopsmodel-monitoringmodel-validationperformance-monitoringstatistical-process-controlstatistical-tests
2 stars 5.08 score 40 scripts
inbo
inlatools:Diagnostic Tools for INLA Models
Several functions which can be useful to choose sensible priors and diagnose the fitted model.
Maintained by Thierry Onkelinx. Last updated 6 months ago.
bayesian-statisticsgplv3inlamixed-modelsmodel-checkingmodel-validation
4 stars 4.41 score 43 scripts