Drift Adaptable Models
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Documentation for package ‘heimdall’ version 1.0.717
Help Pages
| dfr_adwin | ADWIN method |
| dfr_cusum | Cumulative Sum for Concept Drift Detection (CUMSUM) method |
| dfr_ddm | Adapted Drift Detection Method (DDM) method |
| dfr_ecdd | Adapted EWMA for Concept Drift Detection (ECDD) method |
| dfr_eddm | Adapted Early Drift Detection Method (EDDM) method |
| dfr_hddm | Adapted Hoeffding Drift Detection Method (HDDM) method |
| dfr_inactive | Inactive dummy detector |
| dfr_kldist | KL Distance method |
| dfr_kswin | KSWIN method |
| dfr_mcdd | Mean Comparison Distance method |
| dfr_page_hinkley | Adapted Page Hinkley method |
| dfr_passive | Passive dummy detector |
| dist_based | Distribution Based Drifter sub-class |
| drifter | Drifter |
| error_based | Error Based Drifter sub-class |
| fit.drifter | Process Batch |
| metric | Metric |
| mt_fscore | FScore Calculator |
| mt_precision | Precision Calculator |
| mt_recall | Recall Calculator |
| multi_criteria | Multi Criteria Drifter sub-class |
| reset_state | Reset State |
| stealthy | Stealthy |
| st_drift_examples | Synthetic time series for concept drift detection |
| update_state | Update State |