Man pages for harbinger
A Unified Time Series Event Detection Framework
| detect | Detect events in time series |
| examples_anomalies | Time series for anomaly detection |
| examples_changepoints | Time series for change point detection |
| examples_harbinger | Time series for event detection |
| examples_motifs | Time series for change point detection |
| hanc_ml | Anomaly detector based on machine learning classification |
| hanr_arima | Anomaly detector using ARIMA. |
| hanr_emd | Anomaly detector using EMD |
| hanr_fft | Anomaly detector using FFT |
| hanr_fft_amoc | Anomaly Detector using FFT with AMOC Cutoff |
| hanr_fft_amoc_cusum | Anomaly Detector using FFT with AMOC and CUSUM Cutoff |
| hanr_fft_binseg | Anomaly Detector using FFT with Binary Segmentation Cutoff |
| hanr_fft_binseg_cusum | Anomaly Detector using FFT with BinSeg and CUSUM Cutoff |
| hanr_garch | Anomaly detector using GARCH |
| hanr_histogram | Anomaly detector using histogram |
| hanr_red | Anomaly and change point detector using RED |
| hanr_wavelet | Anomaly detector using Wavelet |
| harbinger | Harbinger |
| har_ensemble | Harbinger Ensemble |
| har_eval | Evaluation of event detection |
| har_eval_soft | Evaluation of event detection |
| har_plot | Plot event detection on a time series |
| harutils | Harbinger Utils |
| hcp_amoc | At most one change (AMOC) method |
| hcp_binseg | Binary segmentation (BinSeg) method |
| hcp_cf_arima | Change Finder using ARIMA |
| hcp_cf_ets | Change Finder using ETS |
| hcp_cf_lr | Change Finder using LR |
| hcp_chow | Chow test method |
| hcp_garch | Change Finder using GARCH |
| hcp_gft | Generalized Fluctuation Test (GFT) |
| hcp_pelt | Pruned exact linear time (PELT) method |
| hdis_mp | Discord discovery using Matrix Profile |
| hmo_mp | Motif discovery using Matrix Profile |
| hmu_pca | Multivariate anomaly detector using PCA |
| mas | Moving average smoothing |
| trans_sax | SAX |
| trans_xsax | XSAX |
