Man pages for sungcheolkim78/FiDEL
Fermi-Dirac based Ensemble Learning
| addmodel.mtrainer | addmodel mtrainer |
| auc.pcr | calculate AUC from probability of class at given rank |
| auc_rank | Calculate AUC using rank |
| auprc.pcr | calculate AUPRC from probability of class at given rank |
| build_curve_pcr | create ROC curve based on the rank threshold |
| check.pcr | compare pcr with fermi-dirac distribution |
| countXXY | count cases of Pxxy |
| countXY | count cases of Pxy |
| countXYY | count cases of Pxyy |
| create.auclist | simple code to generate AUC list between initial and final... |
| create.labels | generate labels - class1 and class2 |
| create_predictions | generate prediction matrix for classifer based on Gaussian... |
| create.scores.gaussian | binary classifier using Gaussian score distribution |
| get_fermi | calculate beta, mu using normalized by N |
| new_mtrainer | mtrainer: multiple trainer |
| new_pcr | create dataframe of the probability of class with rank |
| pcr | create S4 object of the probability of class with rank (PCR) |
| pcr_nfold | TODO |
| pcr_sample | calculate pcr using bootstrap method |
| plot.mtrainer | plot the result of fitting models |
| plot.pcr | plot pcr with fermi-dirac distribution |
| predict.mtrainer | predict using mtrainer models |
| Pxxy_int | calculate Pxxy with integral formula |
| Pxxy.sample | calculate Pxxy with sampling |
| Pxy_int | calculate Pxy with integral formula |
| Pxy.sample | calculate Pxy with sampling |
| Pxyy_int | calculate Pxyy with integral formula |
| Pxyy.sample | calculate Pxyy with sampling |
| to_label | add information about labels |
| train.mtrainer | train mtrainer models |
| update.mtrainer | update mtrainer |
| var_auc_fermi | calculate variance of AUC from Fermi-Dirac distribution |
| var_auc_pcr | calculate variance of AUC |
