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* docs: update prefixes * add normalize residual score in regression (#68) * 🐞 fix(classification.utils.metrics): fix covgap Fix CovGap calculation to only consider existing labels' coverage gap * fix vioclasses and covgap metric * add norabs score for regression * add test for norabs score * fix norabs score * update readme.md for regression * Feature/optimized cp (#67) * feat: optimized_cp * fix(classification): fix bug of optimized cp * refactor(classification): refactor loss of optimized cp * delete(examples): delete the example of optimized cp * docs(classification): annotation of scpo * docs(readme): add scpo to classification * Feature/rc3p (#65) * add RC3P * update info of RC3P in the readme.md * Add EntmaxScore module to the classification score (#64) * Add EntmaxScore module to the classification score * add the reference of entmax inREADME.md * add AgACI algorithm in regression (#44) * update agaci algorithm * 🧪 test(regression.predictor.agaci) * update agaci in README.md * update TODO in README.md --------- Co-authored-by: Jianguo Huang <80951029+Jianguo99@users.noreply.github.com> * hotfix(metric): add criteria of efficiency for cp (#69) * hotfix(metric): add criteria of efficiency for cp * fix(p_values) * fix(pvalue): add smooth switch * docs(metrics for pvalue): add annotations * fix(pvalue): add smooth switch * docs(readme): rectify the venue * Revert "fix(pvalue): add smooth switch" This reverts commit c7e0c85. * Revert "Revert "fix(pvalue): add smooth switch"" This reverts commit ba67945. * Revert "docs(readme): rectify the venue" This reverts commit f305aeb. * test(metric_pvalue): add test for metric of pvalue * fix(metric_pvalue): fix smooth * test(scpo): add test for optimized cp * fix(device): the default device is cpu * refactor(device): * test(device): fix test * fix(test): fix test coverage * change name "THR" to "LAC" (#71) * change name "THR" to "LAC" * change classwise to classconditional and update the reference of ABS score * update class_conditioanl.py * update test_scpo (#72) * add online_classification (#73) * add online examples (#74) * add online examples * fix online regression example * fix online regression examples * Refactor/predictor alpha (#75) * refactor(predictor): classification and graph * refactor(predictor): change the position of alpha in __init__ * refactor(test): add test for predictor of classification, graph, llm * refactor(regression): refactor predictors, add alpha in the init * fix(examples): timeseries aci synthetic * Revise trainer (#76) * revise trainer * revise trainer * Feature/contr trainer (#77) * add ConfTrTrainer * add example, test, annotation of conftr * fix(examples): fix the example of conftr --------- Co-authored-by: jianguo.huang <jianguo.huang@ntu.edu.sg> * rename (#78) * rename * update conftr_cifar100 exmaple * Update/info 1.0.3 (#79) * update changelog * update .rst --------- Co-authored-by: Xuanning Zhou <shinning_zhou@163.com> Co-authored-by: Jianqing Song <45555860+janqsong@users.noreply.github.com> Co-authored-by: janqsong <janqsong@gmail.com>
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